Overview

Dataset statistics

Number of variables54
Number of observations10000
Missing cells133507
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 MiB
Average record size in memory432.0 B

Variable types

Text18
Categorical30
Numeric4
Unsupported2

Alerts

event_date has constant value ""Constant
dt has constant value ""Constant
program has constant value ""Constant
weekending_satdate has constant value ""Constant
month_end_date has constant value ""Constant
quarter_end_date has constant value ""Constant
year_end_date has constant value ""Constant
b2b_flag is highly overall correlated with page_type and 1 other fieldsHigh correlation
b2c_flag is highly overall correlated with page_type and 1 other fieldsHigh correlation
calendar_month_number is highly overall correlated with calendar_quarter_number and 2 other fieldsHigh correlation
calendar_quarter_number is highly overall correlated with calendar_month_number and 2 other fieldsHigh correlation
calendar_year_number is highly overall correlated with calendar_month_number and 2 other fieldsHigh correlation
channel is highly overall correlated with last_touch_channel and 3 other fieldsHigh correlation
checkout_flag is highly overall correlated with page_type and 1 other fieldsHigh correlation
device_type is highly overall correlated with finalpayment and 2 other fieldsHigh correlation
entry_page is highly overall correlated with page_typeHigh correlation
finalpayment is highly overall correlated with device_type and 1 other fieldsHigh correlation
last_touch_channel is highly overall correlated with channel and 3 other fieldsHigh correlation
new_visit_flag is highly overall correlated with page_eventHigh correlation
page_event is highly overall correlated with new_visit_flag and 3 other fieldsHigh correlation
page_type is highly overall correlated with b2b_flag and 6 other fieldsHigh correlation
paymentmethod is highly overall correlated with b2b_flag and 6 other fieldsHigh correlation
platform is highly overall correlated with device_typeHigh correlation
referral is highly overall correlated with channel and 4 other fieldsHigh correlation
test_Type is highly overall correlated with page_event and 2 other fieldsHigh correlation
va_closer_id is highly overall correlated with visit_entry_channel and 1 other fieldsHigh correlation
visit_entry_channel is highly overall correlated with channel and 4 other fieldsHigh correlation
visit_entry_channel_c360 is highly overall correlated with channel and 4 other fieldsHigh correlation
week_of_year_number is highly overall correlated with calendar_month_number and 2 other fieldsHigh correlation
bounce is highly imbalanced (96.7%)Imbalance
entry_page is highly imbalanced (77.0%)Imbalance
exit_page is highly imbalanced (77.6%)Imbalance
b2c_flag is highly imbalanced (69.7%)Imbalance
checkout_flag is highly imbalanced (64.2%)Imbalance
new_visit_flag is highly imbalanced (68.7%)Imbalance
test_Type is highly imbalanced (68.7%)Imbalance
b2b_flag is highly imbalanced (91.1%)Imbalance
page_name has 331 (3.3%) missing valuesMissing
page_name_v2 has 8536 (85.4%) missing valuesMissing
link_track_txmy3 has 1904 (19.0%) missing valuesMissing
product_id has 9484 (94.8%) missing valuesMissing
order_id has 9986 (99.9%) missing valuesMissing
cart_session_id has 2900 (29.0%) missing valuesMissing
cid has 4282 (42.8%) missing valuesMissing
referrer has 8055 (80.5%) missing valuesMissing
program has 8109 (81.1%) missing valuesMissing
referral has 9672 (96.7%) missing valuesMissing
link_cat has 2148 (21.5%) missing valuesMissing
link_id has 2021 (20.2%) missing valuesMissing
event_name has 3417 (34.2%) missing valuesMissing
site_txmy2 has 1383 (13.8%) missing valuesMissing
raw_page_state has 3435 (34.4%) missing valuesMissing
platform has 2273 (22.7%) missing valuesMissing
test_Type has 9695 (97.0%) missing valuesMissing
product_modelcode has 10000 (100.0%) missing valuesMissing
event_time has 10000 (100.0%) missing valuesMissing
paymentmethod has 9902 (99.0%) missing valuesMissing
finalpayment has 7499 (75.0%) missing valuesMissing
page_type has 8453 (84.5%) missing valuesMissing
product_modelcode is an unsupported type, check if it needs cleaning or further analysisUnsupported
event_time is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-05 16:09:28.209248
Analysis finished2024-03-05 16:09:41.165216
Duration12.96 seconds
Software versionydata-profiling vv4.6.5
Download configurationconfig.json

Variables

Distinct9952
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:41.389374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length40.5212
Min length40

Characters and Unicode

Total characters405212
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9904 ?
Unique (%)99.0%

Sample

1st row28340693976439741262572614675076773654-2
2nd row52722545145412238723668561230942702169-61
3rd row47410224237958823080562373434066826782-1
4th row33829991137605609102794939609770508412-8
5th row49035996068347060992115545765358520912-1
ValueCountFrequency (%)
44082789694048053982794723096158377923-7 2
 
< 0.1%
59230003976658504100482445145649259502-3 2
 
< 0.1%
84412124289553698533046576440588536836-4 2
 
< 0.1%
80175497886671462800212070706358604537-3 2
 
< 0.1%
22497063298807786684184947926828831996-45 2
 
< 0.1%
22673793115845984502925920040921761738-3 2
 
< 0.1%
36815112168514416832494254677883590017-27 2
 
< 0.1%
54081838166789234794346275357105367489-4 2
 
< 0.1%
07901516919158087721262087106216605063-12 2
 
< 0.1%
11218475281676937120890196735163792344-55 2
 
< 0.1%
Other values (9942) 9980
99.8%
2024-03-05T11:09:41.884513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43886
10.8%
2 41915
10.3%
3 41010
10.1%
0 39857
9.8%
4 39636
9.8%
5 38222
9.4%
7 38110
9.4%
6 37973
9.4%
8 37513
9.3%
9 36789
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 394911
97.5%
Dash Punctuation 10301
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43886
11.1%
2 41915
10.6%
3 41010
10.4%
0 39857
10.1%
4 39636
10.0%
5 38222
9.7%
7 38110
9.7%
6 37973
9.6%
8 37513
9.5%
9 36789
9.3%
Dash Punctuation
ValueCountFrequency (%)
- 10301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 405212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 43886
10.8%
2 41915
10.3%
3 41010
10.1%
0 39857
9.8%
4 39636
9.8%
5 38222
9.4%
7 38110
9.4%
6 37973
9.4%
8 37513
9.3%
9 36789
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 405212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43886
10.8%
2 41915
10.3%
3 41010
10.1%
0 39857
9.8%
4 39636
9.8%
5 38222
9.4%
7 38110
9.4%
6 37973
9.4%
8 37513
9.3%
9 36789
9.1%
Distinct9604
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:42.161226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length21
Mean length21.4386
Min length17

Characters and Unicode

Total characters214386
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9325 ?
Unique (%)93.2%

Sample

1st row2.83406939764397E+037
2nd row5.27225451454122E+037
3rd row4.74102242379588E+037
4th row3.38299911376056E+037
5th row4.9035996068347E+037
ValueCountFrequency (%)
7.20942267310262e+037 22
 
0.2%
1.58961282257976e+037 12
 
0.1%
3.16137840141191e+037 7
 
0.1%
4.39355872529362e+037 6
 
0.1%
5.11268288941266e+037 6
 
0.1%
3506124108188460247-4611717247299406881 5
 
< 0.1%
1.15228810298122e+037 5
 
< 0.1%
2.40395432245138e+037 5
 
< 0.1%
3469982734147846708-6917563438120892360 4
 
< 0.1%
1.24886996510689e+037 4
 
< 0.1%
Other values (9594) 9924
99.2%
2024-03-05T11:09:42.612978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 25573
11.9%
7 24658
11.5%
0 23178
10.8%
6 16913
7.9%
1 16333
7.6%
2 15982
7.5%
5 15947
7.4%
4 15755
7.3%
8 15593
7.3%
9 15056
7.0%
Other values (4) 29398
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 184988
86.3%
Other Punctuation 9699
 
4.5%
Uppercase Letter 9699
 
4.5%
Math Symbol 9699
 
4.5%
Dash Punctuation 301
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 25573
13.8%
7 24658
13.3%
0 23178
12.5%
6 16913
9.1%
1 16333
8.8%
2 15982
8.6%
5 15947
8.6%
4 15755
8.5%
8 15593
8.4%
9 15056
8.1%
Other Punctuation
ValueCountFrequency (%)
. 9699
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 9699
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9699
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204687
95.5%
Latin 9699
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
3 25573
12.5%
7 24658
12.0%
0 23178
11.3%
6 16913
8.3%
1 16333
8.0%
2 15982
7.8%
5 15947
7.8%
4 15755
7.7%
8 15593
7.6%
9 15056
7.4%
Other values (3) 19699
9.6%
Latin
ValueCountFrequency (%)
E 9699
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 214386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 25573
11.9%
7 24658
11.5%
0 23178
10.8%
6 16913
7.9%
1 16333
7.6%
2 15982
7.5%
5 15947
7.4%
4 15755
7.3%
8 15593
7.3%
9 15056
7.0%
Other values (4) 29398
13.7%

event_date
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
00:00.0
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row00:00.0
5th row00:00.0

Common Values

ValueCountFrequency (%)
00:00.0 10000
100.0%

Length

2024-03-05T11:09:42.832296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:42.973700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00.0 10000
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
71.4%
Other Punctuation 20000
 
28.6%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
: 10000
50.0%
. 10000
50.0%
Decimal Number
ValueCountFrequency (%)
0 50000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

device_type
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
Mobile web
5085 
Desktop
4915 

Length

Max length10
Median length10
Mean length8.5255
Min length7

Characters and Unicode

Total characters85255
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMobile web
2nd rowDesktop
3rd rowMobile web
4th rowMobile web
5th rowDesktop

Common Values

ValueCountFrequency (%)
Mobile web 5085
50.8%
Desktop 4915
49.1%

Length

2024-03-05T11:09:43.135829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:43.296520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile 5085
33.7%
web 5085
33.7%
desktop 4915
32.6%

Most occurring characters

ValueCountFrequency (%)
e 15085
17.7%
b 10170
11.9%
o 10000
11.7%
M 5085
 
6.0%
i 5085
 
6.0%
l 5085
 
6.0%
5085
 
6.0%
w 5085
 
6.0%
D 4915
 
5.8%
s 4915
 
5.8%
Other values (3) 14745
17.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 70170
82.3%
Uppercase Letter 10000
 
11.7%
Space Separator 5085
 
6.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 15085
21.5%
b 10170
14.5%
o 10000
14.3%
i 5085
 
7.2%
l 5085
 
7.2%
w 5085
 
7.2%
s 4915
 
7.0%
k 4915
 
7.0%
t 4915
 
7.0%
p 4915
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
M 5085
50.8%
D 4915
49.1%
Space Separator
ValueCountFrequency (%)
5085
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 80170
94.0%
Common 5085
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 15085
18.8%
b 10170
12.7%
o 10000
12.5%
M 5085
 
6.3%
i 5085
 
6.3%
l 5085
 
6.3%
w 5085
 
6.3%
D 4915
 
6.1%
s 4915
 
6.1%
k 4915
 
6.1%
Other values (2) 9830
12.3%
Common
ValueCountFrequency (%)
5085
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 15085
17.7%
b 10170
11.9%
o 10000
11.7%
M 5085
 
6.0%
i 5085
 
6.0%
l 5085
 
6.0%
5085
 
6.0%
w 5085
 
6.0%
D 4915
 
5.8%
s 4915
 
5.8%
Other values (3) 14745
17.3%

visit_page_seq
Real number (ℝ)

Distinct512
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.0092
Minimum1
Maximum2477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:43.490433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q112
median33
Q378
95-th percentile238
Maximum2477
Range2476
Interquartile range (IQR)66

Descriptive statistics

Standard deviation112.82871
Coefficient of variation (CV)1.6837794
Kurtosis93.577918
Mean67.0092
Median Absolute Deviation (MAD)25
Skewness7.13787
Sum670092
Variance12730.318
MonotonicityNot monotonic
2024-03-05T11:09:43.805693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 322
 
3.2%
3 253
 
2.5%
2 236
 
2.4%
4 219
 
2.2%
6 217
 
2.2%
5 209
 
2.1%
7 207
 
2.1%
8 202
 
2.0%
12 181
 
1.8%
11 179
 
1.8%
Other values (502) 7775
77.8%
ValueCountFrequency (%)
1 322
3.2%
2 236
2.4%
3 253
2.5%
4 219
2.2%
5 209
2.1%
6 217
2.2%
7 207
2.1%
8 202
2.0%
9 165
1.7%
10 161
1.6%
ValueCountFrequency (%)
2477 1
< 0.1%
2352 1
< 0.1%
2185 1
< 0.1%
1899 1
< 0.1%
1794 1
< 0.1%
1667 1
< 0.1%
1597 1
< 0.1%
1554 1
< 0.1%
1522 1
< 0.1%
1518 1
< 0.1%

page_event
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing5
Missing (%)< 0.1%
Memory size78.3 KiB
click
8078 
pageview
1917 

Length

Max length8
Median length5
Mean length5.5753877
Min length5

Characters and Unicode

Total characters55726
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowpageview
2nd rowclick
3rd rowclick
4th rowclick
5th rowclick

Common Values

ValueCountFrequency (%)
click 8078
80.8%
pageview 1917
 
19.2%
(Missing) 5
 
0.1%

Length

2024-03-05T11:09:44.084105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:44.244241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
click 8078
80.8%
pageview 1917
 
19.2%

Most occurring characters

ValueCountFrequency (%)
c 16156
29.0%
i 9995
17.9%
l 8078
14.5%
k 8078
14.5%
e 3834
 
6.9%
p 1917
 
3.4%
a 1917
 
3.4%
g 1917
 
3.4%
v 1917
 
3.4%
w 1917
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 55726
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 16156
29.0%
i 9995
17.9%
l 8078
14.5%
k 8078
14.5%
e 3834
 
6.9%
p 1917
 
3.4%
a 1917
 
3.4%
g 1917
 
3.4%
v 1917
 
3.4%
w 1917
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 55726
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 16156
29.0%
i 9995
17.9%
l 8078
14.5%
k 8078
14.5%
e 3834
 
6.9%
p 1917
 
3.4%
a 1917
 
3.4%
g 1917
 
3.4%
v 1917
 
3.4%
w 1917
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55726
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c 16156
29.0%
i 9995
17.9%
l 8078
14.5%
k 8078
14.5%
e 3834
 
6.9%
p 1917
 
3.4%
a 1917
 
3.4%
g 1917
 
3.4%
v 1917
 
3.4%
w 1917
 
3.4%
Distinct3877
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:44.440661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length880
Median length582
Mean length126.9799
Min length28

Characters and Unicode

Total characters1269799
Distinct characters56
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3105 ?
Unique (%)31.1%

Sample

1st rowhttps://www.uofl2022.org/us/smartphones/galaxy-s21-fe-5g/buy/galaxy-s21-fe-5g-128gb-unlocked-sm-g990uzadxaa/??cid=sem-mktg-pfs-mob-us-google-na-01192022-141513-&ds_e=google-cr:0-pl:324320424-&ds_c=ff~device+-+brand+variations_cn~palette_ph~laun_mk~usnat_bs~im_pr~smart_sb~s21fe_pk~roas_fs~lo_ca~kew_ks~ba_mt~phrase-&ds_ag=ag~s21+fe+galaxy+s21+fe_mk~usnat_at~ta_md~h_pk~roah_pb~google_ai~no_tg~na_sa~mass-&ds_k=galaxy+s21+fe&gclid=cjwkcaialrspbhbaeiwaulsduczdrvezh5xxif4i2msbl9jexeherioxda5xanq_dlfgxbc7jdprixoc7i0qavd_bwe&gclsrc=aw.ds
2nd rowhttps://www.uofl2022.org/us/smartphones/galaxy-z-flip3-5g/buy/galaxy-z-flip3-5g-128gb-unlocked-sm-f711uzgbxaa/?modelcode=sm-f926uzkexaa
3rd rowhttps://www.uofl2022.org/us/shop/all-deals/
4th rowhttps://www.uofl2022.org/us/web/express/cart/
5th rowhttps://www.uofl2022.org/us/mobile/tablets/all-tablets/
ValueCountFrequency (%)
https://www.uofl2022.org/us 567
 
5.7%
https://www.uofl2022.org/us/web/express/checkout 499
 
5.0%
https://www.uofl2022.org/us/web/express/cart 387
 
3.9%
https://www.uofl2022.org/us/watches/galaxy-watch4/buy 245
 
2.5%
https://www.uofl2022.org/us/watches/create-your-watch 201
 
2.0%
https://www.uofl2022.org/us/web/express/assisted-checkout 128
 
1.3%
https://www.uofl2022.org/us/smartphones/galaxy-z-fold3-5g/buy/galaxy-z-fold3-5g-256gb-unlocked-sm-f926uzkaxaa 118
 
1.2%
https://www.uofl2022.org/us/web/my-orders 117
 
1.2%
https://www.uofl2022.org/us/smartphones/galaxy-s21-fe-5g/buy/galaxy-s21-fe-5g-128gb-unlocked-sm-g990uzadxaa 95
 
0.9%
https://www.uofl2022.org/us/smartphones/galaxy-s-series/certified-re-newed-store/buy 92
 
0.9%
Other values (3782) 7551
75.5%
2024-03-05T11:09:44.951453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 75715
 
6.0%
a 71984
 
5.7%
/ 70350
 
5.5%
- 64507
 
5.1%
e 60266
 
4.7%
o 59246
 
4.7%
t 56486
 
4.4%
2 50164
 
4.0%
l 44493
 
3.5%
u 44055
 
3.5%
Other values (46) 672533
53.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 872958
68.7%
Decimal Number 161803
 
12.7%
Other Punctuation 120196
 
9.5%
Dash Punctuation 64507
 
5.1%
Math Symbol 29398
 
2.3%
Connector Punctuation 20871
 
1.6%
Open Punctuation 32
 
< 0.1%
Close Punctuation 32
 
< 0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 75715
 
8.7%
a 71984
 
8.2%
e 60266
 
6.9%
o 59246
 
6.8%
t 56486
 
6.5%
l 44493
 
5.1%
u 44055
 
5.0%
r 43151
 
4.9%
w 42026
 
4.8%
g 40823
 
4.7%
Other values (16) 334713
38.3%
Other Punctuation
ValueCountFrequency (%)
/ 70350
58.5%
. 21014
 
17.5%
: 11390
 
9.5%
& 8797
 
7.3%
? 4039
 
3.4%
% 3745
 
3.1%
# 400
 
0.3%
! 226
 
0.2%
, 203
 
0.2%
* 32
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 50164
31.0%
0 26820
16.6%
1 18184
 
11.2%
5 13301
 
8.2%
9 9564
 
5.9%
8 9383
 
5.8%
4 9144
 
5.7%
7 8890
 
5.5%
3 8698
 
5.4%
6 7655
 
4.7%
Math Symbol
ValueCountFrequency (%)
= 12737
43.3%
~ 12556
42.7%
+ 4105
 
14.0%
Open Punctuation
ValueCountFrequency (%)
[ 26
81.2%
( 6
 
18.8%
Close Punctuation
ValueCountFrequency (%)
] 26
81.2%
) 6
 
18.8%
Dash Punctuation
ValueCountFrequency (%)
- 64507
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20871
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 872958
68.7%
Common 396841
31.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 70350
17.7%
- 64507
16.3%
2 50164
12.6%
0 26820
 
6.8%
. 21014
 
5.3%
_ 20871
 
5.3%
1 18184
 
4.6%
5 13301
 
3.4%
= 12737
 
3.2%
~ 12556
 
3.2%
Other values (20) 86337
21.8%
Latin
ValueCountFrequency (%)
s 75715
 
8.7%
a 71984
 
8.2%
e 60266
 
6.9%
o 59246
 
6.8%
t 56486
 
6.5%
l 44493
 
5.1%
u 44055
 
5.0%
r 43151
 
4.9%
w 42026
 
4.8%
g 40823
 
4.7%
Other values (16) 334713
38.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1269799
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 75715
 
6.0%
a 71984
 
5.7%
/ 70350
 
5.5%
- 64507
 
5.1%
e 60266
 
4.7%
o 59246
 
4.7%
t 56486
 
4.4%
2 50164
 
4.0%
l 44493
 
3.5%
u 44055
 
3.5%
Other values (46) 672533
53.0%

page_name
Text

MISSING 

Distinct1428
Distinct (%)14.8%
Missing331
Missing (%)3.3%
Memory size78.3 KiB
2024-03-05T11:09:45.166240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length228
Median length204
Mean length67.829558
Min length11

Characters and Unicode

Total characters655844
Distinct characters47
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique835 ?
Unique (%)8.6%

Sample

1st rowhttps://www.uofl2022.org/us/smartphones/galaxy-s21-fe-5g/buy/galaxy-s21-fe-5g-128gb-unlocked-sm-g990uzadxaa
2nd rowhttps://www.uofl2022.org/us/monitors/
3rd rowhttps://www.uofl2022.org/us/shop/all-deals
4th rownew ecom step1|view cart
5th rowhttps://www.uofl2022.org/us/mobile/tablets/all-tablets
ValueCountFrequency (%)
new 1155
 
8.6%
ecom 1155
 
8.6%
www.uofl2022.org/us 783
 
5.8%
https://www.uofl2022.org/us/watches/galaxy-watch4/buy 636
 
4.7%
step2|checkout 578
 
4.3%
step1|view 563
 
4.2%
cart 563
 
4.2%
https://www.uofl2022.org/us/smartphones/galaxy-z-fold3-5g/buy/galaxy-z-fold3-5g-256gb-unlocked-sm-f926uzkaxaa 242
 
1.8%
page 209
 
1.6%
order 196
 
1.5%
Other values (1336) 7312
54.6%
2024-03-05T11:09:45.628952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 47931
 
7.3%
s 43134
 
6.6%
- 40946
 
6.2%
o 37237
 
5.7%
a 35880
 
5.5%
t 35762
 
5.5%
e 32900
 
5.0%
2 31047
 
4.7%
w 30189
 
4.6%
u 28206
 
4.3%
Other values (37) 292612
44.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 471069
71.8%
Other Punctuation 71704
 
10.9%
Decimal Number 67235
 
10.3%
Dash Punctuation 40946
 
6.2%
Space Separator 3723
 
0.6%
Math Symbol 1166
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 43134
 
9.2%
o 37237
 
7.9%
a 35880
 
7.6%
t 35762
 
7.6%
e 32900
 
7.0%
w 30189
 
6.4%
u 28206
 
6.0%
l 26537
 
5.6%
r 24484
 
5.2%
g 23165
 
4.9%
Other values (16) 153575
32.6%
Decimal Number
ValueCountFrequency (%)
2 31047
46.2%
0 11644
 
17.3%
1 5942
 
8.8%
5 5585
 
8.3%
9 2963
 
4.4%
3 2339
 
3.5%
8 2337
 
3.5%
7 1862
 
2.8%
4 1764
 
2.6%
6 1752
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 47931
66.8%
. 16368
 
22.8%
: 7400
 
10.3%
? 2
 
< 0.1%
& 2
 
< 0.1%
% 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
| 1165
99.9%
> 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 40946
100.0%
Space Separator
ValueCountFrequency (%)
3723
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 471069
71.8%
Common 184775
 
28.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 43134
 
9.2%
o 37237
 
7.9%
a 35880
 
7.6%
t 35762
 
7.6%
e 32900
 
7.0%
w 30189
 
6.4%
u 28206
 
6.0%
l 26537
 
5.6%
r 24484
 
5.2%
g 23165
 
4.9%
Other values (16) 153575
32.6%
Common
ValueCountFrequency (%)
/ 47931
25.9%
- 40946
22.2%
2 31047
16.8%
. 16368
 
8.9%
0 11644
 
6.3%
: 7400
 
4.0%
1 5942
 
3.2%
5 5585
 
3.0%
3723
 
2.0%
9 2963
 
1.6%
Other values (11) 11226
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 655844
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 47931
 
7.3%
s 43134
 
6.6%
- 40946
 
6.2%
o 37237
 
5.7%
a 35880
 
5.5%
t 35762
 
5.5%
e 32900
 
5.0%
2 31047
 
4.7%
w 30189
 
4.6%
u 28206
 
4.3%
Other values (37) 292612
44.6%

page_name_v2
Text

MISSING 

Distinct348
Distinct (%)23.8%
Missing8536
Missing (%)85.4%
Memory size78.3 KiB
2024-03-05T11:09:45.826541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length118
Mean length25.132514
Min length1

Characters and Unicode

Total characters36794
Distinct characters55
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)14.5%

Sample

1st rowconfigurator>galaxy-s21-fe>addons
2nd rowhome
3rd rowitem tracking
4th rowchoose model overlay
5th rowdetails
ValueCountFrequency (%)
home 210
 
10.6%
checkout-info 125
 
6.3%
pdp>review 93
 
4.7%
rating>read 93
 
4.7%
review 93
 
4.7%
section 93
 
4.7%
search 79
 
4.0%
checkout-payment 61
 
3.1%
results 57
 
2.9%
orders 56
 
2.8%
Other values (370) 1014
51.4%
2024-03-05T11:09:46.293155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 3317
 
9.0%
o 2681
 
7.3%
a 2563
 
7.0%
r 2562
 
7.0%
- 2383
 
6.5%
t 1927
 
5.2%
i 1738
 
4.7%
s 1608
 
4.4%
n 1555
 
4.2%
c 1493
 
4.1%
Other values (45) 14967
40.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30808
83.7%
Dash Punctuation 2383
 
6.5%
Decimal Number 1252
 
3.4%
Math Symbol 1201
 
3.3%
Space Separator 510
 
1.4%
Connector Punctuation 319
 
0.9%
Other Punctuation 309
 
0.8%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3317
 
10.8%
o 2681
 
8.7%
a 2563
 
8.3%
r 2562
 
8.3%
t 1927
 
6.3%
i 1738
 
5.6%
s 1608
 
5.2%
n 1555
 
5.0%
c 1493
 
4.8%
d 1261
 
4.1%
Other values (16) 10103
32.8%
Decimal Number
ValueCountFrequency (%)
2 284
22.7%
0 175
14.0%
1 166
13.3%
4 165
13.2%
3 117
9.3%
5 111
 
8.9%
8 77
 
6.2%
7 67
 
5.4%
9 52
 
4.2%
6 38
 
3.0%
Other Punctuation
ValueCountFrequency (%)
: 217
70.2%
& 27
 
8.7%
% 20
 
6.5%
? 16
 
5.2%
, 15
 
4.9%
" 6
 
1.9%
. 4
 
1.3%
; 2
 
0.6%
! 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
> 994
82.8%
+ 101
 
8.4%
= 72
 
6.0%
~ 19
 
1.6%
| 15
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 2383
100.0%
Space Separator
ValueCountFrequency (%)
510
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 319
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30808
83.7%
Common 5986
 
16.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2383
39.8%
> 994
16.6%
510
 
8.5%
_ 319
 
5.3%
2 284
 
4.7%
: 217
 
3.6%
0 175
 
2.9%
1 166
 
2.8%
4 165
 
2.8%
3 117
 
2.0%
Other values (19) 656
 
11.0%
Latin
ValueCountFrequency (%)
e 3317
 
10.8%
o 2681
 
8.7%
a 2563
 
8.3%
r 2562
 
8.3%
t 1927
 
6.3%
i 1738
 
5.6%
s 1608
 
5.2%
n 1555
 
5.0%
c 1493
 
4.8%
d 1261
 
4.1%
Other values (16) 10103
32.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 3317
 
9.0%
o 2681
 
7.3%
a 2563
 
7.0%
r 2562
 
7.0%
- 2383
 
6.5%
t 1927
 
5.2%
i 1738
 
4.7%
s 1608
 
4.4%
n 1555
 
4.2%
c 1493
 
4.1%
Other values (45) 14967
40.7%

link_track_txmy3
Text

MISSING 

Distinct4580
Distinct (%)56.6%
Missing1904
Missing (%)19.0%
Memory size78.3 KiB
2024-03-05T11:09:46.515293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length257
Median length215
Mean length120.81917
Min length21

Characters and Unicode

Total characters978152
Distinct characters120
Distinct categories19 ?
Distinct scripts2 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3619 ?
Unique (%)44.7%

Sample

1st rowhttps://www.uofl2022.org/us/smartphones/galaxy-z-flip3-5g/buy/galaxy-z-flip3-5g-128gb-unlocked-sm-f711uzgbxaa/>configurator>galaxy-z-flip3>capacity>128gb
2nd rowhttps://www.uofl2022.org/us/shop/all-deals>wunderkindcampaign>1349503>wunderkind:modalload
3rd rowhttps://www.uofl2022.org/us/web/express/cart/>iadvize_events>chat displayed
4th rowhttps://www.uofl2022.org/us/mobile/tablets/all-tablets>SM-T733NLIFXAR>pf>buy now
5th rowhttps://www.uofl2022.org/us/web/express/checkout>Samsung Checkout>It's your lucky day. A discount was applied to one or more of your items in cart.> alert_msg
ValueCountFrequency (%)
to 767
 
3.4%
display 663
 
2.9%
rule 659
 
2.9%
wish 659
 
2.9%
test 659
 
2.9%
displayed 637
 
2.8%
button 599
 
2.6%
298
 
1.3%
and 221
 
1.0%
header 202
 
0.9%
Other values (5806) 17460
76.5%
2024-03-05T11:09:46.997632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 62266
 
6.4%
s 56529
 
5.8%
e 54796
 
5.6%
t 53651
 
5.5%
o 52259
 
5.3%
/ 51814
 
5.3%
- 44982
 
4.6%
r 44010
 
4.5%
u 37528
 
3.8%
l 37341
 
3.8%
Other values (110) 482976
49.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 725526
74.2%
Decimal Number 80135
 
8.2%
Other Punctuation 77037
 
7.9%
Dash Punctuation 44983
 
4.6%
Math Symbol 26314
 
2.7%
Space Separator 14754
 
1.5%
Uppercase Letter 5556
 
0.6%
Connector Punctuation 3589
 
0.4%
Open Punctuation 80
 
< 0.1%
Close Punctuation 69
 
< 0.1%
Other values (9) 109
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 62266
 
8.6%
s 56529
 
7.8%
e 54796
 
7.6%
t 53651
 
7.4%
o 52259
 
7.2%
r 44010
 
6.1%
u 37528
 
5.2%
l 37341
 
5.1%
g 34739
 
4.8%
w 31428
 
4.3%
Other values (21) 260979
36.0%
Uppercase Letter
ValueCountFrequency (%)
A 729
 
13.1%
S 522
 
9.4%
M 440
 
7.9%
R 381
 
6.9%
C 381
 
6.9%
W 267
 
4.8%
T 231
 
4.2%
N 227
 
4.1%
G 225
 
4.0%
L 207
 
3.7%
Other values (20) 1946
35.0%
Other Punctuation
ValueCountFrequency (%)
/ 51814
67.3%
. 16151
 
21.0%
: 8722
 
11.3%
& 109
 
0.1%
" 103
 
0.1%
, 62
 
0.1%
? 24
 
< 0.1%
' 24
 
< 0.1%
# 13
 
< 0.1%
% 7
 
< 0.1%
Other values (3) 8
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 32742
40.9%
0 12881
 
16.1%
1 8207
 
10.2%
5 6720
 
8.4%
9 4091
 
5.1%
3 3619
 
4.5%
8 3423
 
4.3%
4 3144
 
3.9%
7 2784
 
3.5%
6 2524
 
3.1%
Math Symbol
ValueCountFrequency (%)
> 26197
99.6%
+ 51
 
0.2%
| 45
 
0.2%
= 17
 
0.1%
< 4
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
$ 43
65.2%
¢ 12
 
18.2%
10
 
15.2%
¥ 1
 
1.5%
Control
ValueCountFrequency (%)
 3
50.0%
 1
 
16.7%
 1
 
16.7%
 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 55
68.8%
[ 14
 
17.5%
11
 
13.8%
Other Symbol
ValueCountFrequency (%)
® 17
73.9%
5
 
21.7%
© 1
 
4.3%
Modifier Symbol
ValueCountFrequency (%)
¸ 2
50.0%
˜ 1
25.0%
¯ 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 44982
> 99.9%
1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
14745
99.9%
  9
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 55
79.7%
] 14
 
20.3%
Other Number
ValueCountFrequency (%)
³ 3
75.0%
¼ 1
 
25.0%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 3589
100.0%
Other Letter
ValueCountFrequency (%)
ª 1
100.0%
Modifier Letter
ValueCountFrequency (%)
ˆ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
» 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 731083
74.7%
Common 247069
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 62266
 
8.5%
s 56529
 
7.7%
e 54796
 
7.5%
t 53651
 
7.3%
o 52259
 
7.1%
r 44010
 
6.0%
u 37528
 
5.1%
l 37341
 
5.1%
g 34739
 
4.8%
w 31428
 
4.3%
Other values (52) 266536
36.5%
Common
ValueCountFrequency (%)
/ 51814
21.0%
- 44982
18.2%
2 32742
13.3%
> 26197
10.6%
. 16151
 
6.5%
14745
 
6.0%
0 12881
 
5.2%
: 8722
 
3.5%
1 8207
 
3.3%
5 6720
 
2.7%
Other values (48) 23908
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 978000
> 99.9%
None 120
 
< 0.1%
Punctuation 15
 
< 0.1%
Currency Symbols 10
 
< 0.1%
Letterlike Symbols 5
 
< 0.1%
Modifier Letters 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 62266
 
6.4%
s 56529
 
5.8%
e 54796
 
5.6%
t 53651
 
5.5%
o 52259
 
5.3%
/ 51814
 
5.3%
- 44982
 
4.6%
r 44010
 
4.5%
u 37528
 
3.8%
l 37341
 
3.8%
Other values (77) 482824
49.4%
None
ValueCountFrequency (%)
 26
21.7%
â 20
16.7%
® 17
14.2%
¢ 12
10.0%
  9
 
7.5%
Î 4
 
3.3%
à 4
 
3.3%
 3
 
2.5%
ä 3
 
2.5%
³ 3
 
2.5%
Other values (15) 19
15.8%
Punctuation
ValueCountFrequency (%)
11
73.3%
2
 
13.3%
1
 
6.7%
1
 
6.7%
Currency Symbols
ValueCountFrequency (%)
10
100.0%
Letterlike Symbols
ValueCountFrequency (%)
5
100.0%
Modifier Letters
ValueCountFrequency (%)
˜ 1
50.0%
ˆ 1
50.0%

product_id
Text

MISSING 

Distinct404
Distinct (%)78.3%
Missing9484
Missing (%)94.8%
Memory size78.3 KiB
2024-03-05T11:09:47.209297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length14
Mean length36.99031
Min length10

Characters and Unicode

Total characters19087
Distinct characters65
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique336 ?
Unique (%)65.1%

Sample

1st rowGP-TYR890BRAGU
2nd rowMZ-V8P2T0CW
3rd rowRF23A9671SR/AA
4th rowSM-R190NZKAXAR,TRADEIN|31731cca-4ae5-4ab3-a92c-430354c774bf
5th rowSP-LSP3BLAXZA,VG-SCLA00G/ZA
ValueCountFrequency (%)
sm-r180nzkaxar 10
 
1.9%
sp-lsp3blaxza 6
 
1.2%
qn55qn90aafxza 6
 
1.2%
sm-r177nzkaxar 6
 
1.2%
ep-p1300tbegus 5
 
1.0%
haf-cin/exp 5
 
1.0%
qn65qn85aafxza 4
 
0.8%
sp-lsp9tfaxza 4
 
0.8%
sm-r177nlvaxar 4
 
0.8%
sm-r190nzkaxar 4
 
0.8%
Other values (384) 462
89.5%
2024-03-05T11:09:47.689908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 1451
 
7.6%
- 936
 
4.9%
R 913
 
4.8%
S 907
 
4.8%
M 887
 
4.6%
E 800
 
4.2%
U 741
 
3.9%
0 683
 
3.6%
, 616
 
3.2%
T 570
 
3.0%
Other values (55) 10583
55.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 11424
59.9%
Decimal Number 4365
 
22.9%
Lowercase Letter 1163
 
6.1%
Dash Punctuation 936
 
4.9%
Other Punctuation 768
 
4.0%
Connector Punctuation 355
 
1.9%
Math Symbol 76
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1451
12.7%
R 913
 
8.0%
S 907
 
7.9%
M 887
 
7.8%
E 800
 
7.0%
U 741
 
6.5%
T 570
 
5.0%
I 557
 
4.9%
N 544
 
4.8%
X 537
 
4.7%
Other values (16) 3517
30.8%
Lowercase Letter
ValueCountFrequency (%)
b 194
16.7%
a 194
16.7%
e 167
14.4%
c 158
13.6%
f 156
13.4%
d 149
12.8%
s 20
 
1.7%
n 16
 
1.4%
u 15
 
1.3%
x 14
 
1.2%
Other values (14) 80
6.9%
Decimal Number
ValueCountFrequency (%)
0 683
15.6%
9 478
11.0%
1 468
10.7%
7 453
10.4%
4 401
9.2%
8 401
9.2%
5 399
9.1%
3 378
8.7%
2 355
8.1%
6 349
8.0%
Other Punctuation
ValueCountFrequency (%)
, 616
80.2%
/ 152
 
19.8%
Dash Punctuation
ValueCountFrequency (%)
- 936
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 355
100.0%
Math Symbol
ValueCountFrequency (%)
| 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12587
65.9%
Common 6500
34.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1451
 
11.5%
R 913
 
7.3%
S 907
 
7.2%
M 887
 
7.0%
E 800
 
6.4%
U 741
 
5.9%
T 570
 
4.5%
I 557
 
4.4%
N 544
 
4.3%
X 537
 
4.3%
Other values (40) 4680
37.2%
Common
ValueCountFrequency (%)
- 936
14.4%
0 683
10.5%
, 616
9.5%
9 478
 
7.4%
1 468
 
7.2%
7 453
 
7.0%
4 401
 
6.2%
8 401
 
6.2%
5 399
 
6.1%
3 378
 
5.8%
Other values (5) 1287
19.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19087
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 1451
 
7.6%
- 936
 
4.9%
R 913
 
4.8%
S 907
 
4.8%
M 887
 
4.6%
E 800
 
4.2%
U 741
 
3.9%
0 683
 
3.6%
, 616
 
3.2%
T 570
 
3.0%
Other values (55) 10583
55.4%

order_id
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing9986
Missing (%)99.9%
Memory size78.3 KiB
2024-03-05T11:09:47.904676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters252
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st rowUOFL16997150062506
2nd rowUOFL16997673768586
3rd rowUOFL16998864607043
4th rowUOFL16999149519223
5th rowUOFL16993817741954
ValueCountFrequency (%)
uofl16997150062506 1
 
7.1%
uofl16997673768586 1
 
7.1%
uofl16998864607043 1
 
7.1%
uofl16999149519223 1
 
7.1%
uofl16993817741954 1
 
7.1%
uofl16990514452999 1
 
7.1%
uofl16990546144875 1
 
7.1%
uofl16993995401831 1
 
7.1%
uofl16993792219684 1
 
7.1%
uofl16994791287176 1
 
7.1%
Other values (4) 4
28.6%
2024-03-05T11:09:48.305348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 44
17.5%
1 31
12.3%
6 26
10.3%
4 20
7.9%
7 16
 
6.3%
0 15
 
6.0%
U 14
 
5.6%
O 14
 
5.6%
F 14
 
5.6%
L 14
 
5.6%
Other values (4) 44
17.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 196
77.8%
Uppercase Letter 56
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 44
22.4%
1 31
15.8%
6 26
13.3%
4 20
10.2%
7 16
 
8.2%
0 15
 
7.7%
5 12
 
6.1%
2 12
 
6.1%
8 11
 
5.6%
3 9
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
U 14
25.0%
O 14
25.0%
F 14
25.0%
L 14
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 196
77.8%
Latin 56
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
9 44
22.4%
1 31
15.8%
6 26
13.3%
4 20
10.2%
7 16
 
8.2%
0 15
 
7.7%
5 12
 
6.1%
2 12
 
6.1%
8 11
 
5.6%
3 9
 
4.6%
Latin
ValueCountFrequency (%)
U 14
25.0%
O 14
25.0%
F 14
25.0%
L 14
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 44
17.5%
1 31
12.3%
6 26
10.3%
4 20
7.9%
7 16
 
6.3%
0 15
 
6.0%
U 14
 
5.6%
O 14
 
5.6%
F 14
 
5.6%
L 14
 
5.6%
Other values (4) 44
17.5%

cart_session_id
Text

MISSING 

Distinct7011
Distinct (%)98.7%
Missing2900
Missing (%)29.0%
Memory size78.3 KiB
2024-03-05T11:09:48.609490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length35.983521
Min length19

Characters and Unicode

Total characters255483
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6955 ?
Unique (%)98.0%

Sample

1st row1f30315a-5de2-460d-9719-ac37e13c0a20
2nd row65b47068-2425-46a4-9298-6a5db200544c
3rd row187972cf-8e03-4951-9b33-e220d248fc3c
4th rowcd5855cd-ad09-4cd8-8097-bf3d44da5718
5th rowcc137c49-5962-4d1a-9bf2-58cfab252813
ValueCountFrequency (%)
66716bb1-51a3-4abc-a765-bb9db3b30d42 22
 
0.3%
eab57113-c4bf-4c59-915d-5c06e3d55f01 9
 
0.1%
cc6b8c92-e626-4344-9889-ef0fc7d202d4 4
 
0.1%
0c51f1a6-a3b9-4383-a996-d734040288d1 4
 
0.1%
09cbd4de-b5a7-4891-ac02-e7d47b754ca0 3
 
< 0.1%
0e3828cd-df7b-4058-85a7-0bb05b4e99dd 3
 
< 0.1%
4435b69b-9a47-4118-adf1-2f84da84093a 2
 
< 0.1%
419c1aef-3729-4528-bcff-7a5daff6d923 2
 
< 0.1%
8ed4c4b2-7b5f-4101-bd9a-327db4b2f213 2
 
< 0.1%
12920d29-f353-4ea0-a5b5-5173fc715983 2
 
< 0.1%
Other values (7001) 7047
99.3%
2024-03-05T11:09:49.105143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 28379
 
11.1%
4 20419
 
8.0%
9 15283
 
6.0%
a 15073
 
5.9%
b 15037
 
5.9%
8 14975
 
5.9%
5 13405
 
5.2%
f 13390
 
5.2%
1 13374
 
5.2%
3 13330
 
5.2%
Other values (14) 92818
36.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 143889
56.3%
Lowercase Letter 83196
32.6%
Dash Punctuation 28379
 
11.1%
Uppercase Letter 19
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 20419
14.2%
9 15283
10.6%
8 14975
10.4%
5 13405
9.3%
1 13374
9.3%
3 13330
9.3%
2 13302
9.2%
0 13295
9.2%
6 13282
9.2%
7 13224
9.2%
Uppercase Letter
ValueCountFrequency (%)
S 7
36.8%
U 6
31.6%
Y 2
 
10.5%
M 1
 
5.3%
K 1
 
5.3%
T 1
 
5.3%
A 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
a 15073
18.1%
b 15037
18.1%
f 13390
16.1%
d 13323
16.0%
c 13239
15.9%
e 13134
15.8%
Dash Punctuation
ValueCountFrequency (%)
- 28379
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 172268
67.4%
Latin 83215
32.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 15073
18.1%
b 15037
18.1%
f 13390
16.1%
d 13323
16.0%
c 13239
15.9%
e 13134
15.8%
S 7
 
< 0.1%
U 6
 
< 0.1%
Y 2
 
< 0.1%
M 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
Common
ValueCountFrequency (%)
- 28379
16.5%
4 20419
11.9%
9 15283
8.9%
8 14975
8.7%
5 13405
7.8%
1 13374
7.8%
3 13330
7.7%
2 13302
7.7%
0 13295
7.7%
6 13282
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 255483
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 28379
 
11.1%
4 20419
 
8.0%
9 15283
 
6.0%
a 15073
 
5.9%
b 15037
 
5.9%
8 14975
 
5.9%
5 13405
 
5.2%
f 13390
 
5.2%
1 13374
 
5.2%
3 13330
 
5.2%
Other values (14) 92818
36.3%

cid
Text

MISSING 

Distinct1039
Distinct (%)18.2%
Missing4282
Missing (%)42.8%
Memory size78.3 KiB
2024-03-05T11:09:49.352535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length104
Mean length40.819692
Min length6

Characters and Unicode

Total characters233407
Distinct characters51
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique516 ?
Unique (%)9.0%

Sample

1st rowonsite-abdn-exit-im
2nd rowpnf-mb-smp-cha-20220112-660600
3rd roweml-abdn-prod-televisions+and+home+theater-t2
4th rowafl-ecomm-cjn-cha-092118-53000
5th rowus_ow_app_galaxyshop_none_none_weblinkapp_bookmark_202008_none
ValueCountFrequency (%)
afl-ecomm-cjn-cha-092118-53002 215
 
3.7%
afl-ecomm-cjn-cha-092118-53000 203
 
3.5%
afl-ecomm-cjn-cha-092118-53005 174
 
3.0%
us_ow_app_galaxyshop_none_none_weblinkapp_bookmark_202008_none 99
 
1.7%
pla-ecomm-pfs-tab-us-google-na-04272021-170088 91
 
1.6%
pla-ecomm-pfs-mob-us-google-na-01142021-170050 90
 
1.6%
sem-mktg-pfs-mob-us-google-na-12202021-141491 87
 
1.5%
onsite-abdn-exit-im 79
 
1.4%
pla-ecomm-pfs-weacc-us-google-na-11012021-170104 78
 
1.4%
afl-ecomm-cjn-cha-092118-54828 77
 
1.3%
Other values (1041) 4545
79.2%
2024-03-05T11:09:49.872734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 37716
16.2%
0 16182
 
6.9%
1 15406
 
6.6%
2 14188
 
6.1%
m 13256
 
5.7%
o 11183
 
4.8%
e 11140
 
4.8%
a 9864
 
4.2%
s 9144
 
3.9%
n 8119
 
3.5%
Other values (41) 87209
37.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 121408
52.0%
Decimal Number 70062
30.0%
Dash Punctuation 37716
 
16.2%
Connector Punctuation 3997
 
1.7%
Math Symbol 148
 
0.1%
Other Punctuation 52
 
< 0.1%
Space Separator 20
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 13256
10.9%
o 11183
 
9.2%
e 11140
 
9.2%
a 9864
 
8.1%
s 9144
 
7.5%
n 8119
 
6.7%
c 7593
 
6.3%
g 6481
 
5.3%
p 6261
 
5.2%
l 5536
 
4.6%
Other values (16) 32831
27.0%
Decimal Number
ValueCountFrequency (%)
0 16182
23.1%
1 15406
22.0%
2 14188
20.3%
4 4449
 
6.4%
8 4147
 
5.9%
9 3769
 
5.4%
3 3275
 
4.7%
5 3265
 
4.7%
7 3258
 
4.7%
6 2123
 
3.0%
Other Punctuation
ValueCountFrequency (%)
% 25
48.1%
/ 17
32.7%
. 5
 
9.6%
? 3
 
5.8%
# 1
 
1.9%
, 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
N 1
25.0%
A 1
25.0%
M 1
25.0%
E 1
25.0%
Math Symbol
ValueCountFrequency (%)
+ 146
98.6%
= 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 37716
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3997
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 121412
52.0%
Common 111995
48.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 13256
10.9%
o 11183
 
9.2%
e 11140
 
9.2%
a 9864
 
8.1%
s 9144
 
7.5%
n 8119
 
6.7%
c 7593
 
6.3%
g 6481
 
5.3%
p 6261
 
5.2%
l 5536
 
4.6%
Other values (20) 32835
27.0%
Common
ValueCountFrequency (%)
- 37716
33.7%
0 16182
14.4%
1 15406
13.8%
2 14188
 
12.7%
4 4449
 
4.0%
8 4147
 
3.7%
_ 3997
 
3.6%
9 3769
 
3.4%
3 3275
 
2.9%
5 3265
 
2.9%
Other values (11) 5601
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233407
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 37716
16.2%
0 16182
 
6.9%
1 15406
 
6.6%
2 14188
 
6.1%
m 13256
 
5.7%
o 11183
 
4.8%
e 11140
 
4.8%
a 9864
 
4.2%
s 9144
 
3.9%
n 8119
 
3.5%
Other values (41) 87209
37.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
0
6982 
1
3018 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 6982
69.8%
1 3018
30.2%

Length

2024-03-05T11:09:50.084581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:50.450642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6982
69.8%
1 3018
30.2%

Most occurring characters

ValueCountFrequency (%)
0 6982
69.8%
1 3018
30.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6982
69.8%
1 3018
30.2%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6982
69.8%
1 3018
30.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6982
69.8%
1 3018
30.2%
Distinct3390
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:50.738216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique625 ?
Unique (%)6.2%

Sample

1st row23:59.0
2nd row03:40.0
3rd row06:09.0
4th row57:35.0
5th row40:58.0
ValueCountFrequency (%)
57:43.0 11
 
0.1%
45:56.0 10
 
0.1%
54:26.0 10
 
0.1%
44:36.0 9
 
0.1%
36:34.0 9
 
0.1%
59:01.0 9
 
0.1%
11:12.0 9
 
0.1%
39:34.0 9
 
0.1%
16:14.0 8
 
0.1%
04:04.0 8
 
0.1%
Other values (3380) 9908
99.1%
2024-03-05T11:09:51.260985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15374
22.0%
: 10000
14.3%
. 10000
14.3%
5 5416
 
7.7%
2 5356
 
7.7%
4 5295
 
7.6%
3 5289
 
7.6%
1 5245
 
7.5%
6 2051
 
2.9%
9 2018
 
2.9%
Other values (2) 3956
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
71.4%
Other Punctuation 20000
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15374
30.7%
5 5416
 
10.8%
2 5356
 
10.7%
4 5295
 
10.6%
3 5289
 
10.6%
1 5245
 
10.5%
6 2051
 
4.1%
9 2018
 
4.0%
8 1984
 
4.0%
7 1972
 
3.9%
Other Punctuation
ValueCountFrequency (%)
: 10000
50.0%
. 10000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15374
22.0%
: 10000
14.3%
. 10000
14.3%
5 5416
 
7.7%
2 5356
 
7.7%
4 5295
 
7.6%
3 5289
 
7.6%
1 5245
 
7.5%
6 2051
 
2.9%
9 2018
 
2.9%
Other values (2) 3956
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15374
22.0%
: 10000
14.3%
. 10000
14.3%
5 5416
 
7.7%
2 5356
 
7.7%
4 5295
 
7.6%
3 5289
 
7.6%
1 5245
 
7.5%
6 2051
 
2.9%
9 2018
 
2.9%
Other values (2) 3956
 
5.7%

referrer
Text

MISSING 

Distinct831
Distinct (%)42.7%
Missing8055
Missing (%)80.5%
Memory size78.3 KiB
2024-03-05T11:09:51.518550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length246
Median length206
Mean length73.037018
Min length19

Characters and Unicode

Total characters142057
Distinct characters51
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique656 ?
Unique (%)33.7%

Sample

1st rowhttps://www.google.com/
2nd rowhttps://www.uofl2022.org/us/televisions-home-theater/tvs/crystal-uhd-tvs/86-class-tu9010f-crystal-uhd-4k-smart-tv-2021-un86tu9010fxza/?utm_campaign=email_sessionrecap_2_of_3&ibx_source=c7od0uginqokofsmrp20&cid=eml-abdn-prod-televisions+and+home+
3rd rowhttps://www.uofl2022.org/us/televisions-home-theater/tvs/portable-projector/the-freestyle-sp-lsp3blaxza/
4th rowhttps://www.google.com/
5th rowhttps://www.uofl2022.org/us/web/my-orders
ValueCountFrequency (%)
https://www.google.com 192
 
9.9%
https://www.uofl2022.org/us 176
 
9.0%
https://account.uofl2022.org 84
 
4.3%
https://www.uofl2022.org/us/web/express/cart 65
 
3.3%
https://www.uofl2022.org/us/web/my-orders 35
 
1.8%
android-app://com.google.android.gm 29
 
1.5%
https://sso-us.uofl2022.org 26
 
1.3%
https://www.uofl2022.org/us/shop/all-deals 24
 
1.2%
https://www.uofl2022.org/us/support/account 17
 
0.9%
https://www.uofl2022.org/us/smartphones/galaxy-z-fold3-5g/buy/galaxy-z-fold3-5g-256gb-unlocked-sm-f926uzkaxaa 14
 
0.7%
Other values (817) 1283
66.0%
2024-03-05T11:09:52.340150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 11043
 
7.8%
s 9338
 
6.6%
o 8310
 
5.8%
t 7662
 
5.4%
e 6881
 
4.8%
2 6664
 
4.7%
a 6495
 
4.6%
- 6090
 
4.3%
w 5866
 
4.1%
r 5448
 
3.8%
Other values (41) 68260
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 98117
69.1%
Other Punctuation 18701
 
13.2%
Decimal Number 16402
 
11.5%
Dash Punctuation 6090
 
4.3%
Math Symbol 1757
 
1.2%
Connector Punctuation 970
 
0.7%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 9338
 
9.5%
o 8310
 
8.5%
t 7662
 
7.8%
e 6881
 
7.0%
a 6495
 
6.6%
w 5866
 
6.0%
r 5448
 
5.6%
u 5230
 
5.3%
l 5199
 
5.3%
g 4477
 
4.6%
Other values (16) 33211
33.8%
Decimal Number
ValueCountFrequency (%)
2 6664
40.6%
0 3212
19.6%
1 1409
 
8.6%
5 1079
 
6.6%
8 711
 
4.3%
4 704
 
4.3%
9 679
 
4.1%
3 672
 
4.1%
7 671
 
4.1%
6 601
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 11043
59.1%
. 3978
 
21.3%
: 2069
 
11.1%
& 655
 
3.5%
? 501
 
2.7%
% 404
 
2.2%
! 28
 
0.1%
, 23
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 1137
64.7%
~ 325
 
18.5%
+ 295
 
16.8%
Dash Punctuation
ValueCountFrequency (%)
- 6090
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 970
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 98117
69.1%
Common 43940
30.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 9338
 
9.5%
o 8310
 
8.5%
t 7662
 
7.8%
e 6881
 
7.0%
a 6495
 
6.6%
w 5866
 
6.0%
r 5448
 
5.6%
u 5230
 
5.3%
l 5199
 
5.3%
g 4477
 
4.6%
Other values (16) 33211
33.8%
Common
ValueCountFrequency (%)
/ 11043
25.1%
2 6664
15.2%
- 6090
13.9%
. 3978
 
9.1%
0 3212
 
7.3%
: 2069
 
4.7%
1 1409
 
3.2%
= 1137
 
2.6%
5 1079
 
2.5%
_ 970
 
2.2%
Other values (15) 6289
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 11043
 
7.8%
s 9338
 
6.6%
o 8310
 
5.8%
t 7662
 
5.4%
e 6881
 
4.8%
2 6664
 
4.7%
a 6495
 
4.6%
- 6090
 
4.3%
w 5866
 
4.1%
r 5448
 
3.8%
Other values (41) 68260
48.1%

dt
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
00:00.0
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row00:00.0
5th row00:00.0

Common Values

ValueCountFrequency (%)
00:00.0 10000
100.0%

Length

2024-03-05T11:09:52.554367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:52.724243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00.0 10000
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
71.4%
Other Punctuation 20000
 
28.6%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
: 10000
50.0%
. 10000
50.0%
Decimal Number
ValueCountFrequency (%)
0 50000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

bounce
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
0
9966 
1
 
34

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9966
99.7%
1 34
 
0.3%

Length

2024-03-05T11:09:52.877978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:53.033664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9966
99.7%
1 34
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 9966
99.7%
1 34
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9966
99.7%
1 34
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9966
99.7%
1 34
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9966
99.7%
1 34
 
0.3%

entry_page
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
0
9627 
1
 
373

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9627
96.3%
1 373
 
3.7%

Length

2024-03-05T11:09:53.198650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:53.350897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9627
96.3%
1 373
 
3.7%

Most occurring characters

ValueCountFrequency (%)
0 9627
96.3%
1 373
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9627
96.3%
1 373
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9627
96.3%
1 373
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9627
96.3%
1 373
 
3.7%

exit_page
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
0
9640 
1
 
360

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9640
96.4%
1 360
 
3.6%

Length

2024-03-05T11:09:53.514654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:53.663931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9640
96.4%
1 360
 
3.6%

Most occurring characters

ValueCountFrequency (%)
0 9640
96.4%
1 360
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9640
96.4%
1 360
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9640
96.4%
1 360
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9640
96.4%
1 360
 
3.6%

va_closer_id
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5603
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:53.812981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q313
95-th percentile21
Maximum25
Range24
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.8449726
Coefficient of variation (CV)0.90538372
Kurtosis-0.061423032
Mean7.5603
Median Absolute Deviation (MAD)3
Skewness1.1326574
Sum75603
Variance46.853649
MonotonicityNot monotonic
2024-03-05T11:09:54.002319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5 3650
36.5%
2 2322
23.2%
1 885
 
8.8%
16 713
 
7.1%
13 491
 
4.9%
21 389
 
3.9%
23 256
 
2.6%
20 253
 
2.5%
6 252
 
2.5%
25 213
 
2.1%
Other values (6) 576
 
5.8%
ValueCountFrequency (%)
1 885
 
8.8%
2 2322
23.2%
5 3650
36.5%
6 252
 
2.5%
8 109
 
1.1%
11 42
 
0.4%
12 152
 
1.5%
13 491
 
4.9%
16 713
 
7.1%
17 57
 
0.6%
ValueCountFrequency (%)
25 213
 
2.1%
23 256
 
2.6%
21 389
3.9%
20 253
 
2.5%
19 64
 
0.6%
18 152
 
1.5%
17 57
 
0.6%
16 713
7.1%
13 491
4.9%
12 152
 
1.5%

program
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing8109
Missing (%)81.1%
Memory size78.3 KiB
epp
1891 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters5673
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowepp
2nd rowepp
3rd rowepp
4th rowepp
5th rowepp

Common Values

ValueCountFrequency (%)
epp 1891
 
18.9%
(Missing) 8109
81.1%

Length

2024-03-05T11:09:54.209047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:54.364432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
epp 1891
100.0%

Most occurring characters

ValueCountFrequency (%)
p 3782
66.7%
e 1891
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5673
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 3782
66.7%
e 1891
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 5673
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 3782
66.7%
e 1891
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 3782
66.7%
e 1891
33.3%

referral
Categorical

HIGH CORRELATION  MISSING 

Distinct41
Distinct (%)12.5%
Missing9672
Missing (%)96.7%
Memory size78.3 KiB
google.com
192 
com.google
34 
facebook.com
 
12
bing.com
 
11
narrativ.com
 
10
Other values (36)
69 

Length

Max length20
Median length10
Mean length10.457317
Min length7

Characters and Unicode

Total characters3430
Distinct characters26
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)7.0%

Sample

1st rowgoogle.com
2nd rowgoogle.com
3rd rowgoogle.com
4th rowfacebook.com
5th rowgoogle.com

Common Values

ValueCountFrequency (%)
google.com 192
 
1.9%
com.google 34
 
0.3%
facebook.com 12
 
0.1%
bing.com 11
 
0.1%
narrativ.com 10
 
0.1%
instagram.com 8
 
0.1%
iadvize.com 7
 
0.1%
slickdeals.net 5
 
0.1%
seasam.org 5
 
0.1%
yahoo.com 3
 
< 0.1%
Other values (31) 41
 
0.4%
(Missing) 9672
96.7%

Length

2024-03-05T11:09:54.547309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
google.com 192
58.5%
com.google 34
 
10.4%
facebook.com 12
 
3.7%
bing.com 11
 
3.4%
narrativ.com 10
 
3.0%
instagram.com 8
 
2.4%
iadvize.com 7
 
2.1%
slickdeals.net 5
 
1.5%
seasam.org 5
 
1.5%
yahoo.com 3
 
0.9%
Other values (31) 41
 
12.5%

Most occurring characters

ValueCountFrequency (%)
o 834
24.3%
g 495
14.4%
m 340
9.9%
c 339
9.9%
. 331
 
9.7%
e 299
 
8.7%
l 255
 
7.4%
a 92
 
2.7%
i 68
 
2.0%
n 61
 
1.8%
Other values (16) 316
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3099
90.3%
Other Punctuation 331
 
9.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 834
26.9%
g 495
16.0%
m 340
11.0%
c 339
10.9%
e 299
 
9.6%
l 255
 
8.2%
a 92
 
3.0%
i 68
 
2.2%
n 61
 
2.0%
s 56
 
1.8%
Other values (15) 260
 
8.4%
Other Punctuation
ValueCountFrequency (%)
. 331
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3099
90.3%
Common 331
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 834
26.9%
g 495
16.0%
m 340
11.0%
c 339
10.9%
e 299
 
9.6%
l 255
 
8.2%
a 92
 
3.0%
i 68
 
2.2%
n 61
 
2.0%
s 56
 
1.8%
Other values (15) 260
 
8.4%
Common
ValueCountFrequency (%)
. 331
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 834
24.3%
g 495
14.4%
m 340
9.9%
c 339
9.9%
. 331
 
9.7%
e 299
 
8.7%
l 255
 
7.4%
a 92
 
2.7%
i 68
 
2.0%
n 61
 
1.8%
Other values (16) 316
 
9.2%

channel
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
direct
4310 
natural search
2242 
paid search
875 
affiliate
514 
pla
 
398
Other values (10)
1661 

Length

Max length19
Median length17
Mean length9.3129
Min length3

Characters and Unicode

Total characters93129
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdirect
2nd rowdirect
3rd rownatural search
4th rowpush notification
5th rowdirect

Common Values

ValueCountFrequency (%)
direct 4310
43.1%
natural search 2242
22.4%
paid search 875
 
8.8%
affiliate 514
 
5.1%
pla 398
 
4.0%
external campaign 346
 
3.5%
email 255
 
2.5%
epp 226
 
2.3%
email - upsellit 219
 
2.2%
other paid (ecom) 157
 
1.6%
Other values (5) 458
 
4.6%

Length

2024-03-05T11:09:54.761521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
direct 4310
29.3%
search 3117
21.2%
natural 2242
15.2%
paid 1183
 
8.0%
affiliate 514
 
3.5%
email 474
 
3.2%
pla 398
 
2.7%
external 346
 
2.4%
campaign 346
 
2.4%
epp 226
 
1.5%
Other values (11) 1546
 
10.5%

Most occurring characters

ValueCountFrequency (%)
a 12386
13.3%
r 10481
11.3%
e 10436
11.2%
i 8247
8.9%
c 8211
8.8%
t 7938
8.5%
d 5749
 
6.2%
l 4795
 
5.1%
4702
 
5.0%
s 3667
 
3.9%
Other values (13) 16517
17.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 87482
93.9%
Space Separator 4702
 
5.0%
Open Punctuation 363
 
0.4%
Close Punctuation 363
 
0.4%
Dash Punctuation 219
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 12386
14.2%
r 10481
12.0%
e 10436
11.9%
i 8247
9.4%
c 8211
9.4%
t 7938
9.1%
d 5749
6.6%
l 4795
 
5.5%
s 3667
 
4.2%
h 3349
 
3.8%
Other values (9) 12223
14.0%
Space Separator
ValueCountFrequency (%)
4702
100.0%
Open Punctuation
ValueCountFrequency (%)
( 363
100.0%
Close Punctuation
ValueCountFrequency (%)
) 363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 87482
93.9%
Common 5647
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 12386
14.2%
r 10481
12.0%
e 10436
11.9%
i 8247
9.4%
c 8211
9.4%
t 7938
9.1%
d 5749
6.6%
l 4795
 
5.5%
s 3667
 
4.2%
h 3349
 
3.8%
Other values (9) 12223
14.0%
Common
ValueCountFrequency (%)
4702
83.3%
( 363
 
6.4%
) 363
 
6.4%
- 219
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 12386
13.3%
r 10481
11.3%
e 10436
11.2%
i 8247
8.9%
c 8211
8.8%
t 7938
8.5%
d 5749
 
6.2%
l 4795
 
5.1%
4702
 
5.0%
s 3667
 
3.9%
Other values (13) 16517
17.7%

last_touch_channel
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
direct
3902 
natural search
2322 
paid search
885 
affiliate
713 
external campaign
491 
Other values (10)
1687 

Length

Max length19
Median length17
Mean length9.5733
Min length3

Characters and Unicode

Total characters95733
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdirect
2nd rowdirect
3rd rownatural search
4th rowpush notification
5th rowdirect

Common Values

ValueCountFrequency (%)
direct 3902
39.0%
natural search 2322
23.2%
paid search 885
 
8.8%
affiliate 713
 
7.1%
external campaign 491
 
4.9%
pla 389
 
3.9%
email 256
 
2.6%
epp 253
 
2.5%
email - upsellit 213
 
2.1%
social media (paid) 152
 
1.5%
Other values (5) 424
 
4.2%

Length

2024-03-05T11:09:54.980740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
direct 3902
26.2%
search 3207
21.5%
natural 2322
15.6%
paid 1189
 
8.0%
affiliate 713
 
4.8%
external 491
 
3.3%
campaign 491
 
3.3%
email 469
 
3.1%
pla 389
 
2.6%
epp 253
 
1.7%
Other values (11) 1484
 
10.0%

Most occurring characters

ValueCountFrequency (%)
a 13430
14.0%
e 10584
11.1%
r 10349
10.8%
i 8342
8.7%
c 8025
8.4%
t 7921
8.3%
d 5342
 
5.6%
l 5170
 
5.4%
4910
 
5.1%
s 3735
 
3.9%
Other values (13) 17925
18.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 89888
93.9%
Space Separator 4910
 
5.1%
Open Punctuation 361
 
0.4%
Close Punctuation 361
 
0.4%
Dash Punctuation 213
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 13430
14.9%
e 10584
11.8%
r 10349
11.5%
i 8342
9.3%
c 8025
8.9%
t 7921
8.8%
d 5342
 
5.9%
l 5170
 
5.8%
s 3735
 
4.2%
n 3432
 
3.8%
Other values (9) 13558
15.1%
Space Separator
ValueCountFrequency (%)
4910
100.0%
Open Punctuation
ValueCountFrequency (%)
( 361
100.0%
Close Punctuation
ValueCountFrequency (%)
) 361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 89888
93.9%
Common 5845
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 13430
14.9%
e 10584
11.8%
r 10349
11.5%
i 8342
9.3%
c 8025
8.9%
t 7921
8.8%
d 5342
 
5.9%
l 5170
 
5.8%
s 3735
 
4.2%
n 3432
 
3.8%
Other values (9) 13558
15.1%
Common
ValueCountFrequency (%)
4910
84.0%
( 361
 
6.2%
) 361
 
6.2%
- 213
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95733
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 13430
14.0%
e 10584
11.1%
r 10349
10.8%
i 8342
8.7%
c 8025
8.4%
t 7921
8.3%
d 5342
 
5.6%
l 5170
 
5.4%
4910
 
5.1%
s 3735
 
3.9%
Other values (13) 17925
18.7%

entry_page_seq
Real number (ℝ)

Distinct366
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.2577
Minimum1
Maximum1789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:55.189006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile117
Maximum1789
Range1788
Interquartile range (IQR)5

Descriptive statistics

Standard deviation72.628892
Coefficient of variation (CV)3.4165922
Kurtosis118.98096
Mean21.2577
Median Absolute Deviation (MAD)0
Skewness8.610881
Sum212577
Variance5274.956
MonotonicityNot monotonic
2024-03-05T11:09:55.410513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5903
59.0%
6 680
 
6.8%
2 354
 
3.5%
5 333
 
3.3%
3 268
 
2.7%
4 268
 
2.7%
7 162
 
1.6%
8 76
 
0.8%
11 62
 
0.6%
9 47
 
0.5%
Other values (356) 1847
 
18.5%
ValueCountFrequency (%)
1 5903
59.0%
2 354
 
3.5%
3 268
 
2.7%
4 268
 
2.7%
5 333
 
3.3%
6 680
 
6.8%
7 162
 
1.6%
8 76
 
0.8%
9 47
 
0.5%
10 46
 
0.5%
ValueCountFrequency (%)
1789 1
< 0.1%
1500 2
< 0.1%
1208 1
< 0.1%
1084 1
< 0.1%
1028 1
< 0.1%
1023 1
< 0.1%
1011 1
< 0.1%
910 1
< 0.1%
857 2
< 0.1%
849 2
< 0.1%

visit_entry_channel
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
direct
4310 
natural search
2242 
paid search
875 
affiliate
514 
pla
 
398
Other values (10)
1661 

Length

Max length19
Median length17
Mean length9.3129
Min length3

Characters and Unicode

Total characters93129
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdirect
2nd rowdirect
3rd rownatural search
4th rowpush notification
5th rowdirect

Common Values

ValueCountFrequency (%)
direct 4310
43.1%
natural search 2242
22.4%
paid search 875
 
8.8%
affiliate 514
 
5.1%
pla 398
 
4.0%
external campaign 346
 
3.5%
email 255
 
2.5%
epp 226
 
2.3%
email - upsellit 219
 
2.2%
other paid (ecom) 157
 
1.6%
Other values (5) 458
 
4.6%

Length

2024-03-05T11:09:55.632799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
direct 4310
29.3%
search 3117
21.2%
natural 2242
15.2%
paid 1183
 
8.0%
affiliate 514
 
3.5%
email 474
 
3.2%
pla 398
 
2.7%
external 346
 
2.4%
campaign 346
 
2.4%
epp 226
 
1.5%
Other values (11) 1546
 
10.5%

Most occurring characters

ValueCountFrequency (%)
a 12386
13.3%
r 10481
11.3%
e 10436
11.2%
i 8247
8.9%
c 8211
8.8%
t 7938
8.5%
d 5749
 
6.2%
l 4795
 
5.1%
4702
 
5.0%
s 3667
 
3.9%
Other values (13) 16517
17.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 87482
93.9%
Space Separator 4702
 
5.0%
Open Punctuation 363
 
0.4%
Close Punctuation 363
 
0.4%
Dash Punctuation 219
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 12386
14.2%
r 10481
12.0%
e 10436
11.9%
i 8247
9.4%
c 8211
9.4%
t 7938
9.1%
d 5749
6.6%
l 4795
 
5.5%
s 3667
 
4.2%
h 3349
 
3.8%
Other values (9) 12223
14.0%
Space Separator
ValueCountFrequency (%)
4702
100.0%
Open Punctuation
ValueCountFrequency (%)
( 363
100.0%
Close Punctuation
ValueCountFrequency (%)
) 363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 87482
93.9%
Common 5647
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 12386
14.2%
r 10481
12.0%
e 10436
11.9%
i 8247
9.4%
c 8211
9.4%
t 7938
9.1%
d 5749
6.6%
l 4795
 
5.5%
s 3667
 
4.2%
h 3349
 
3.8%
Other values (9) 12223
14.0%
Common
ValueCountFrequency (%)
4702
83.3%
( 363
 
6.4%
) 363
 
6.4%
- 219
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 12386
13.3%
r 10481
11.3%
e 10436
11.2%
i 8247
8.9%
c 8211
8.8%
t 7938
8.5%
d 5749
 
6.2%
l 4795
 
5.1%
4702
 
5.0%
s 3667
 
3.9%
Other values (13) 16517
17.7%

visit_entry_channel_c360
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
direct
3071 
paid search
1517 
natural search
1279 
affiliate
957 
pla
758 
Other values (10)
2418 

Length

Max length19
Median length16
Mean length9.556
Min length3

Characters and Unicode

Total characters95560
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownatural search
2nd rowdirect
3rd rowexternal campaign
4th rowpush notification
5th rowdirect

Common Values

ValueCountFrequency (%)
direct 3071
30.7%
paid search 1517
15.2%
natural search 1279
12.8%
affiliate 957
 
9.6%
pla 758
 
7.6%
external campaign 610
 
6.1%
email 428
 
4.3%
email - upsellit 342
 
3.4%
other paid (ecom) 304
 
3.0%
social media (paid) 212
 
2.1%
Other values (5) 522
 
5.2%

Length

2024-03-05T11:09:55.851593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
direct 3071
20.1%
search 2796
18.3%
paid 2033
13.3%
natural 1279
8.4%
affiliate 957
 
6.3%
email 770
 
5.0%
pla 758
 
5.0%
external 610
 
4.0%
campaign 610
 
4.0%
upsellit 342
 
2.2%
Other values (11) 2085
13.6%

Most occurring characters

ValueCountFrequency (%)
a 13428
14.1%
e 10423
10.9%
i 9692
10.1%
r 8240
8.6%
c 7152
 
7.5%
t 6821
 
7.1%
l 5456
 
5.7%
d 5427
 
5.7%
5311
 
5.6%
p 4367
 
4.6%
Other values (13) 19243
20.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88815
92.9%
Space Separator 5311
 
5.6%
Open Punctuation 546
 
0.6%
Close Punctuation 546
 
0.6%
Dash Punctuation 342
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 13428
15.1%
e 10423
11.7%
i 9692
10.9%
r 8240
9.3%
c 7152
8.1%
t 6821
7.7%
l 5456
 
6.1%
d 5427
 
6.1%
p 4367
 
4.9%
s 3590
 
4.0%
Other values (9) 14219
16.0%
Space Separator
ValueCountFrequency (%)
5311
100.0%
Open Punctuation
ValueCountFrequency (%)
( 546
100.0%
Close Punctuation
ValueCountFrequency (%)
) 546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88815
92.9%
Common 6745
 
7.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 13428
15.1%
e 10423
11.7%
i 9692
10.9%
r 8240
9.3%
c 7152
8.1%
t 6821
7.7%
l 5456
 
6.1%
d 5427
 
6.1%
p 4367
 
4.9%
s 3590
 
4.0%
Other values (9) 14219
16.0%
Common
ValueCountFrequency (%)
5311
78.7%
( 546
 
8.1%
) 546
 
8.1%
- 342
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 13428
14.1%
e 10423
10.9%
i 9692
10.1%
r 8240
8.6%
c 7152
 
7.5%
t 6821
 
7.1%
l 5456
 
5.7%
d 5427
 
5.7%
5311
 
5.6%
p 4367
 
4.6%
Other values (13) 19243
20.1%

b2c_flag
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
9461 
0
 
539

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 9461
94.6%
0 539
 
5.4%

Length

2024-03-05T11:09:56.050439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:56.196013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9461
94.6%
0 539
 
5.4%

Most occurring characters

ValueCountFrequency (%)
1 9461
94.6%
0 539
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9461
94.6%
0 539
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9461
94.6%
0 539
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9461
94.6%
0 539
 
5.4%

checkout_flag
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
0
9321 
1
 
679

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9321
93.2%
1 679
 
6.8%

Length

2024-03-05T11:09:56.352683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:56.496586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9321
93.2%
1 679
 
6.8%

Most occurring characters

ValueCountFrequency (%)
0 9321
93.2%
1 679
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9321
93.2%
1 679
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9321
93.2%
1 679
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9321
93.2%
1 679
 
6.8%

link_cat
Text

MISSING 

Distinct311
Distinct (%)4.0%
Missing2148
Missing (%)21.5%
Memory size78.3 KiB
2024-03-05T11:09:56.745247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length16.09297
Min length3

Characters and Unicode

Total characters126362
Distinct characters76
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)1.6%

Sample

1st rowconfigurator>capacity
2nd rowwunderkind
3rd rowiadvize_chat_events
4th rowpf>buy now
5th rowalert_msg
ValueCountFrequency (%)
iadvize_chat_events 1306
 
14.2%
checkout 465
 
5.1%
navigation 429
 
4.7%
configurator>sku 391
 
4.3%
configurator>tradein 373
 
4.1%
search 297
 
3.2%
configurator>color 291
 
3.2%
configurator>studio 279
 
3.0%
bopis 273
 
3.0%
configurator>carrier 249
 
2.7%
Other values (375) 4828
52.6%
2024-03-05T11:09:57.288081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 11194
 
8.9%
o 11172
 
8.8%
i 10350
 
8.2%
a 10034
 
7.9%
t 9475
 
7.5%
e 9453
 
7.5%
c 9074
 
7.2%
n 7927
 
6.3%
u 5563
 
4.4%
s 4455
 
3.5%
Other values (66) 37665
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 117444
92.9%
Math Symbol 3486
 
2.8%
Connector Punctuation 3255
 
2.6%
Space Separator 1330
 
1.1%
Uppercase Letter 362
 
0.3%
Dash Punctuation 336
 
0.3%
Decimal Number 106
 
0.1%
Other Punctuation 33
 
< 0.1%
Currency Symbol 6
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 11194
 
9.5%
o 11172
 
9.5%
i 10350
 
8.8%
a 10034
 
8.5%
t 9475
 
8.1%
e 9453
 
8.0%
c 9074
 
7.7%
n 7927
 
6.7%
u 5563
 
4.7%
s 4455
 
3.8%
Other values (16) 28747
24.5%
Uppercase Letter
ValueCountFrequency (%)
A 46
12.7%
O 36
9.9%
W 34
9.4%
R 33
9.1%
N 33
9.1%
B 33
9.1%
I 31
8.6%
S 17
 
4.7%
P 16
 
4.4%
C 16
 
4.4%
Other values (15) 67
18.5%
Decimal Number
ValueCountFrequency (%)
0 35
33.0%
2 21
19.8%
1 13
 
12.3%
6 9
 
8.5%
5 8
 
7.5%
8 6
 
5.7%
3 5
 
4.7%
4 4
 
3.8%
7 4
 
3.8%
9 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 16
48.5%
: 11
33.3%
, 3
 
9.1%
/ 1
 
3.0%
# 1
 
3.0%
? 1
 
3.0%
Math Symbol
ValueCountFrequency (%)
> 3482
99.9%
| 3
 
0.1%
+ 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3255
100.0%
Space Separator
ValueCountFrequency (%)
1330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 117806
93.2%
Common 8556
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 11194
 
9.5%
o 11172
 
9.5%
i 10350
 
8.8%
a 10034
 
8.5%
t 9475
 
8.0%
e 9453
 
8.0%
c 9074
 
7.7%
n 7927
 
6.7%
u 5563
 
4.7%
s 4455
 
3.8%
Other values (41) 29109
24.7%
Common
ValueCountFrequency (%)
> 3482
40.7%
_ 3255
38.0%
1330
 
15.5%
- 336
 
3.9%
0 35
 
0.4%
2 21
 
0.2%
& 16
 
0.2%
1 13
 
0.2%
: 11
 
0.1%
6 9
 
0.1%
Other values (15) 48
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 11194
 
8.9%
o 11172
 
8.8%
i 10350
 
8.2%
a 10034
 
7.9%
t 9475
 
7.5%
e 9453
 
7.5%
c 9074
 
7.2%
n 7927
 
6.3%
u 5563
 
4.4%
s 4455
 
3.5%
Other values (66) 37665
29.8%

link_id
Text

MISSING 

Distinct1945
Distinct (%)24.4%
Missing2021
Missing (%)20.2%
Memory size78.3 KiB
2024-03-05T11:09:57.565342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length239
Median length147
Mean length20.012157
Min length1

Characters and Unicode

Total characters159677
Distinct characters118
Distinct categories19 ?
Distinct scripts2 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1278 ?
Unique (%)16.0%

Sample

1st row128gb
2nd rowwunderkind:modalload
3rd rowchat displayed
4th rowpf>category_filter_SM-T733NLIFXAR_buy_now
5th rowalert_msg
ValueCountFrequency (%)
to 705
 
4.1%
display 663
 
3.8%
targeting 659
 
3.8%
wish 659
 
3.8%
test 659
 
3.8%
rule 659
 
3.8%
chat 657
 
3.8%
displayed 637
 
3.7%
button 599
 
3.5%
galaxy 304
 
1.8%
Other values (2288) 11114
64.2%
2024-03-05T11:09:58.132731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 13843
 
8.7%
a 11336
 
7.1%
t 10815
 
6.8%
9349
 
5.9%
r 8296
 
5.2%
s 8295
 
5.2%
o 7559
 
4.7%
i 7523
 
4.7%
l 7080
 
4.4%
n 6907
 
4.3%
Other values (108) 68674
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 129307
81.0%
Space Separator 9355
 
5.9%
Decimal Number 8793
 
5.5%
Connector Punctuation 4155
 
2.6%
Uppercase Letter 3564
 
2.2%
Other Punctuation 2135
 
1.3%
Dash Punctuation 1619
 
1.0%
Math Symbol 543
 
0.3%
Open Punctuation 62
 
< 0.1%
Currency Symbol 55
 
< 0.1%
Other values (9) 89
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13843
 
10.7%
a 11336
 
8.8%
t 10815
 
8.4%
r 8296
 
6.4%
s 8295
 
6.4%
o 7559
 
5.8%
i 7523
 
5.8%
l 7080
 
5.5%
n 6907
 
5.3%
d 6351
 
4.9%
Other values (21) 41302
31.9%
Uppercase Letter
ValueCountFrequency (%)
A 525
 
14.7%
S 344
 
9.7%
M 188
 
5.3%
T 177
 
5.0%
G 175
 
4.9%
R 170
 
4.8%
C 161
 
4.5%
N 156
 
4.4%
D 155
 
4.3%
F 139
 
3.9%
Other values (19) 1374
38.6%
Other Punctuation
ValueCountFrequency (%)
: 1487
69.6%
& 188
 
8.8%
/ 134
 
6.3%
. 106
 
5.0%
" 91
 
4.3%
, 46
 
2.2%
% 41
 
1.9%
' 16
 
0.7%
? 14
 
0.7%
# 8
 
0.4%
Other values (2) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 1468
16.7%
1 1376
15.6%
2 1186
13.5%
8 933
10.6%
9 764
8.7%
5 763
8.7%
6 669
7.6%
7 636
7.2%
4 519
 
5.9%
3 479
 
5.4%
Math Symbol
ValueCountFrequency (%)
> 247
45.5%
| 120
22.1%
= 117
21.5%
+ 51
 
9.4%
< 8
 
1.5%
Currency Symbol
ValueCountFrequency (%)
$ 31
56.4%
¢ 14
25.5%
9
 
16.4%
¥ 1
 
1.8%
Modifier Symbol
ValueCountFrequency (%)
^ 2
33.3%
¸ 2
33.3%
˜ 1
16.7%
¯ 1
16.7%
Control
ValueCountFrequency (%)
 2
40.0%
 1
20.0%
 1
20.0%
 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 35
56.5%
[ 14
 
22.6%
13
 
21.0%
Other Symbol
ValueCountFrequency (%)
® 17
73.9%
5
 
21.7%
© 1
 
4.3%
Space Separator
ValueCountFrequency (%)
9349
99.9%
  6
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1618
99.9%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 35
71.4%
] 14
 
28.6%
Other Number
ValueCountFrequency (%)
³ 1
50.0%
¼ 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4155
100.0%
Modifier Letter
ValueCountFrequency (%)
ˆ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Other Letter
ValueCountFrequency (%)
ª 1
100.0%
Final Punctuation
ValueCountFrequency (%)
» 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 132872
83.2%
Common 26805
 
16.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13843
 
10.4%
a 11336
 
8.5%
t 10815
 
8.1%
r 8296
 
6.2%
s 8295
 
6.2%
o 7559
 
5.7%
i 7523
 
5.7%
l 7080
 
5.3%
n 6907
 
5.2%
d 6351
 
4.8%
Other values (51) 44867
33.8%
Common
ValueCountFrequency (%)
9349
34.9%
_ 4155
15.5%
- 1618
 
6.0%
: 1487
 
5.5%
0 1468
 
5.5%
1 1376
 
5.1%
2 1186
 
4.4%
8 933
 
3.5%
9 764
 
2.9%
5 763
 
2.8%
Other values (47) 3706
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159536
99.9%
None 110
 
0.1%
Punctuation 15
 
< 0.1%
Currency Symbols 9
 
< 0.1%
Letterlike Symbols 5
 
< 0.1%
Modifier Letters 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 13843
 
8.7%
a 11336
 
7.1%
t 10815
 
6.8%
9349
 
5.9%
r 8296
 
5.2%
s 8295
 
5.2%
o 7559
 
4.7%
i 7523
 
4.7%
l 7080
 
4.4%
n 6907
 
4.3%
Other values (77) 68533
43.0%
None
ValueCountFrequency (%)
 23
20.9%
â 21
19.1%
® 17
15.5%
¢ 14
12.7%
  6
 
5.5%
à 4
 
3.6%
ä 3
 
2.7%
å 2
 
1.8%
æ 2
 
1.8%
¸ 2
 
1.8%
Other values (14) 16
14.5%
Punctuation
ValueCountFrequency (%)
13
86.7%
1
 
6.7%
1
 
6.7%
Currency Symbols
ValueCountFrequency (%)
9
100.0%
Letterlike Symbols
ValueCountFrequency (%)
5
100.0%
Modifier Letters
ValueCountFrequency (%)
ˆ 1
50.0%
˜ 1
50.0%

event_name
Text

MISSING 

Distinct1236
Distinct (%)18.8%
Missing3417
Missing (%)34.2%
Memory size78.3 KiB
2024-03-05T11:09:58.472547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length233
Median length123
Mean length29.79204
Min length6

Characters and Unicode

Total characters196121
Distinct characters111
Distinct categories19 ?
Distinct scripts2 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique645 ?
Unique (%)9.8%

Sample

1st rowselect_capacity_128gb
2nd rowwunderkind_modal_load
3rd rowiadvize_chat_displayed
4th rowalert_msg
5th rowselect_strap_color_black
ValueCountFrequency (%)
iadvize_targeting_rule_wish_to_display_test 659
 
6.8%
iadvize_chat_button_displayed 599
 
6.2%
select_device_galaxy 221
 
2.3%
and 184
 
1.9%
select_carrier_unlocked 171
 
1.8%
5g 152
 
1.6%
searches 141
 
1.4%
matched 137
 
1.4%
content 137
 
1.4%
type_header_display_related 137
 
1.4%
Other values (1529) 7194
73.9%
2024-03-05T11:09:59.094046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 22755
 
11.6%
_ 18321
 
9.3%
t 15523
 
7.9%
s 12917
 
6.6%
a 12746
 
6.5%
c 11730
 
6.0%
l 11291
 
5.8%
i 11024
 
5.6%
r 8337
 
4.3%
d 8217
 
4.2%
Other values (101) 63260
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 165789
84.5%
Connector Punctuation 18321
 
9.3%
Decimal Number 5673
 
2.9%
Space Separator 3162
 
1.6%
Dash Punctuation 1261
 
0.6%
Other Punctuation 892
 
0.5%
Uppercase Letter 805
 
0.4%
Math Symbol 83
 
< 0.1%
Open Punctuation 47
 
< 0.1%
Close Punctuation 36
 
< 0.1%
Other values (9) 52
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 22755
13.7%
t 15523
 
9.4%
s 12917
 
7.8%
a 12746
 
7.7%
c 11730
 
7.1%
l 11291
 
6.8%
i 11024
 
6.6%
r 8337
 
5.0%
d 8217
 
5.0%
o 8169
 
4.9%
Other values (21) 43080
26.0%
Uppercase Letter
ValueCountFrequency (%)
A 106
 
13.2%
S 87
 
10.8%
T 60
 
7.5%
R 59
 
7.3%
D 49
 
6.1%
G 46
 
5.7%
O 41
 
5.1%
C 35
 
4.3%
B 29
 
3.6%
P 28
 
3.5%
Other values (18) 265
32.9%
Decimal Number
ValueCountFrequency (%)
0 897
15.8%
1 879
15.5%
8 712
12.6%
2 705
12.4%
9 549
9.7%
5 481
8.5%
6 459
8.1%
7 379
6.7%
4 326
 
5.7%
3 286
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 569
63.8%
" 84
 
9.4%
. 71
 
8.0%
/ 68
 
7.6%
& 57
 
6.4%
, 25
 
2.8%
' 11
 
1.2%
; 3
 
0.3%
? 2
 
0.2%
% 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 40
48.2%
= 18
21.7%
> 15
 
18.1%
| 8
 
9.6%
< 2
 
2.4%
Currency Symbol
ValueCountFrequency (%)
¢ 12
54.5%
$ 6
27.3%
3
 
13.6%
¥ 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 22
46.8%
[ 14
29.8%
11
23.4%
Modifier Symbol
ValueCountFrequency (%)
¸ 2
50.0%
¯ 1
25.0%
˜ 1
25.0%
Control
ValueCountFrequency (%)
 1
33.3%
 1
33.3%
 1
33.3%
Space Separator
ValueCountFrequency (%)
3161
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1260
99.9%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 22
61.1%
] 14
38.9%
Other Symbol
ValueCountFrequency (%)
® 17
94.4%
1
 
5.6%
Connector Punctuation
ValueCountFrequency (%)
_ 18321
100.0%
Other Number
ValueCountFrequency (%)
¼ 1
100.0%
Other Letter
ValueCountFrequency (%)
ª 1
100.0%
Modifier Letter
ValueCountFrequency (%)
ˆ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
» 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 166595
84.9%
Common 29526
 
15.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 22755
13.7%
t 15523
 
9.3%
s 12917
 
7.8%
a 12746
 
7.7%
c 11730
 
7.0%
l 11291
 
6.8%
i 11024
 
6.6%
r 8337
 
5.0%
d 8217
 
4.9%
o 8169
 
4.9%
Other values (50) 43886
26.3%
Common
ValueCountFrequency (%)
_ 18321
62.1%
3161
 
10.7%
- 1260
 
4.3%
0 897
 
3.0%
1 879
 
3.0%
8 712
 
2.4%
2 705
 
2.4%
: 569
 
1.9%
9 549
 
1.9%
5 481
 
1.6%
Other values (41) 1992
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 196022
99.9%
None 80
 
< 0.1%
Punctuation 13
 
< 0.1%
Currency Symbols 3
 
< 0.1%
Modifier Letters 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 22755
 
11.6%
_ 18321
 
9.3%
t 15523
 
7.9%
s 12917
 
6.6%
a 12746
 
6.5%
c 11730
 
6.0%
l 11291
 
5.8%
i 11024
 
5.6%
r 8337
 
4.3%
d 8217
 
4.2%
Other values (75) 63161
32.2%
None
ValueCountFrequency (%)
 18
22.5%
® 17
21.2%
â 13
16.2%
¢ 12
15.0%
ä 3
 
3.8%
¸ 2
 
2.5%
å 2
 
2.5%
æ 2
 
2.5%
  1
 
1.2%
Ÿ 1
 
1.2%
Other values (9) 9
11.2%
Punctuation
ValueCountFrequency (%)
11
84.6%
1
 
7.7%
1
 
7.7%
Currency Symbols
ValueCountFrequency (%)
3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Modifier Letters
ValueCountFrequency (%)
ˆ 1
50.0%
˜ 1
50.0%

weekending_satdate
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
00:00.0
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row00:00.0
5th row00:00.0

Common Values

ValueCountFrequency (%)
00:00.0 10000
100.0%

Length

2024-03-05T11:09:59.302691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:09:59.453811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00.0 10000
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
71.4%
Other Punctuation 20000
 
28.6%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
: 10000
50.0%
. 10000
50.0%
Decimal Number
ValueCountFrequency (%)
0 50000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

week_of_year_number
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.7252
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.3 KiB
2024-03-05T11:09:59.599881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q350
95-th percentile53
Maximum53
Range52
Interquartile range (IQR)47

Descriptive statistics

Standard deviation21.788069
Coefficient of variation (CV)1.2292143
Kurtosis-1.1897868
Mean17.7252
Median Absolute Deviation (MAD)2
Skewness0.89053821
Sum177252
Variance474.71996
MonotonicityNot monotonic
2024-03-05T11:09:59.780855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 1767
17.7%
4 1640
16.4%
3 1569
15.7%
2 1349
13.5%
52 766
7.7%
53 661
 
6.6%
51 629
 
6.3%
50 566
 
5.7%
6 415
 
4.2%
49 335
 
3.4%
ValueCountFrequency (%)
1 303
 
3.0%
2 1349
13.5%
3 1569
15.7%
4 1640
16.4%
5 1767
17.7%
6 415
 
4.2%
49 335
 
3.4%
50 566
 
5.7%
51 629
 
6.3%
52 766
7.7%
ValueCountFrequency (%)
53 661
 
6.6%
52 766
7.7%
51 629
 
6.3%
50 566
 
5.7%
49 335
 
3.4%
6 415
 
4.2%
5 1767
17.7%
4 1640
16.4%
3 1569
15.7%
2 1349
13.5%

month_end_date
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
00:00.0
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row00:00.0
5th row00:00.0

Common Values

ValueCountFrequency (%)
00:00.0 10000
100.0%

Length

2024-03-05T11:09:59.975891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:00.130924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00.0 10000
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
71.4%
Other Punctuation 20000
 
28.6%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
: 10000
50.0%
. 10000
50.0%
Decimal Number
ValueCountFrequency (%)
0 50000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

calendar_month_number
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
6922 
12
3078 

Length

Max length2
Median length1
Mean length1.3078
Min length1

Characters and Unicode

Total characters13078
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row12
3rd row12
4th row1
5th row12

Common Values

ValueCountFrequency (%)
1 6922
69.2%
12 3078
30.8%

Length

2024-03-05T11:10:00.318785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:00.491599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6922
69.2%
12 3078
30.8%

Most occurring characters

ValueCountFrequency (%)
1 10000
76.5%
2 3078
 
23.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13078
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10000
76.5%
2 3078
 
23.5%

Most occurring scripts

ValueCountFrequency (%)
Common 13078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10000
76.5%
2 3078
 
23.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 10000
76.5%
2 3078
 
23.5%

quarter_end_date
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
00:00.0
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row00:00.0
5th row00:00.0

Common Values

ValueCountFrequency (%)
00:00.0 10000
100.0%

Length

2024-03-05T11:10:00.661423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:00.810031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00.0 10000
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
71.4%
Other Punctuation 20000
 
28.6%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
: 10000
50.0%
. 10000
50.0%
Decimal Number
ValueCountFrequency (%)
0 50000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

calendar_quarter_number
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
1
6922 
4
3078 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row4
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 6922
69.2%
4 3078
30.8%

Length

2024-03-05T11:10:00.973085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:01.137022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6922
69.2%
4 3078
30.8%

Most occurring characters

ValueCountFrequency (%)
1 6922
69.2%
4 3078
30.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6922
69.2%
4 3078
30.8%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6922
69.2%
4 3078
30.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6922
69.2%
4 3078
30.8%

year_end_date
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
00:00.0
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00.0
2nd row00:00.0
3rd row00:00.0
4th row00:00.0
5th row00:00.0

Common Values

ValueCountFrequency (%)
00:00.0 10000
100.0%

Length

2024-03-05T11:10:01.311535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:01.477518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00.0 10000
100.0%

Most occurring characters

ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
71.4%
Other Punctuation 20000
 
28.6%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
: 10000
50.0%
. 10000
50.0%
Decimal Number
ValueCountFrequency (%)
0 50000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50000
71.4%
: 10000
 
14.3%
. 10000
 
14.3%

calendar_year_number
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2022
6922 
2021
3078 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters40000
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2021
3rd row2021
4th row2022
5th row2021

Common Values

ValueCountFrequency (%)
2022 6922
69.2%
2021 3078
30.8%

Length

2024-03-05T11:10:01.634752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:01.781739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 6922
69.2%
2021 3078
30.8%

Most occurring characters

ValueCountFrequency (%)
2 26922
67.3%
0 10000
 
25.0%
1 3078
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 26922
67.3%
0 10000
 
25.0%
1 3078
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Common 40000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 26922
67.3%
0 10000
 
25.0%
1 3078
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 26922
67.3%
0 10000
 
25.0%
1 3078
 
7.7%
Distinct118
Distinct (%)1.2%
Missing17
Missing (%)0.2%
Memory size78.3 KiB
2024-03-05T11:10:01.974883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length18
Mean length17.554543
Min length6

Characters and Unicode

Total characters175247
Distinct characters51
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)0.3%

Sample

1st rowChrome Mobile 97.0
2nd rowGoogle Chrome 96.0
3rd rowChrome Mobile 96.0
4th rowSamsung Browser 16.0
5th rowGoogle Chrome 96.0
ValueCountFrequency (%)
chrome 7203
25.0%
96.0 3887
13.5%
google 3767
13.1%
97.0 3485
12.1%
mobile 3443
11.9%
safari 1054
 
3.7%
browser 804
 
2.8%
samsung 802
 
2.8%
16.0 767
 
2.7%
microsoft 664
 
2.3%
Other values (88) 2956
10.3%
2024-03-05T11:10:02.424344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 20831
 
11.9%
18849
 
10.8%
e 16176
 
9.2%
r 10843
 
6.2%
. 10145
 
5.8%
0 9155
 
5.2%
m 8021
 
4.6%
9 7953
 
4.5%
l 7699
 
4.4%
h 7205
 
4.1%
Other values (41) 58370
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 97585
55.7%
Decimal Number 29712
 
17.0%
Uppercase Letter 18936
 
10.8%
Space Separator 18849
 
10.8%
Other Punctuation 10145
 
5.8%
Open Punctuation 10
 
< 0.1%
Close Punctuation 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 20831
21.3%
e 16176
16.6%
r 10843
11.1%
m 8021
 
8.2%
l 7699
 
7.9%
h 7205
 
7.4%
i 5645
 
5.8%
g 5214
 
5.3%
b 3443
 
3.5%
a 3165
 
3.2%
Other values (13) 9343
9.6%
Uppercase Letter
ValueCountFrequency (%)
C 7203
38.0%
M 4336
22.9%
G 3767
19.9%
S 1872
 
9.9%
B 809
 
4.3%
E 664
 
3.5%
F 230
 
1.2%
I 23
 
0.1%
A 16
 
0.1%
O 7
 
< 0.1%
Other values (4) 9
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 9155
30.8%
9 7953
26.8%
6 4697
15.8%
7 3576
 
12.0%
1 2117
 
7.1%
5 798
 
2.7%
2 677
 
2.3%
8 316
 
1.1%
4 295
 
1.0%
3 128
 
0.4%
Space Separator
ValueCountFrequency (%)
18849
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 116521
66.5%
Common 58726
33.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 20831
17.9%
e 16176
13.9%
r 10843
9.3%
m 8021
 
6.9%
l 7699
 
6.6%
h 7205
 
6.2%
C 7203
 
6.2%
i 5645
 
4.8%
g 5214
 
4.5%
M 4336
 
3.7%
Other values (27) 23348
20.0%
Common
ValueCountFrequency (%)
18849
32.1%
. 10145
17.3%
0 9155
15.6%
9 7953
13.5%
6 4697
 
8.0%
7 3576
 
6.1%
1 2117
 
3.6%
5 798
 
1.4%
2 677
 
1.2%
8 316
 
0.5%
Other values (4) 443
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 20831
 
11.9%
18849
 
10.8%
e 16176
 
9.2%
r 10843
 
6.2%
. 10145
 
5.8%
0 9155
 
5.2%
m 8021
 
4.6%
9 7953
 
4.5%
l 7699
 
4.4%
h 7205
 
4.1%
Other values (41) 58370
33.3%

site_txmy2
Text

MISSING 

Distinct162
Distinct (%)1.9%
Missing1383
Missing (%)13.8%
Memory size78.3 KiB
2024-03-05T11:10:02.672243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length11.998956
Min length2

Characters and Unicode

Total characters103395
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)0.5%

Sample

1st rowgalaxy-s21-fe
2nd rowgalaxy-z-flip3
3rd rowall-deals
4th rowgalaxy-watch4
5th rowtablets
ValueCountFrequency (%)
tvs 1380
15.9%
galaxy-watch4 1107
 
12.7%
galaxy-s21 728
 
8.4%
galaxy-z-fold3 527
 
6.1%
galaxy-s21-fe 519
 
6.0%
galaxy-z-flip3 439
 
5.0%
all-deals 338
 
3.9%
galaxy-tab-s7 294
 
3.4%
mobile-accessories 280
 
3.2%
refrigerators 239
 
2.7%
Other values (160) 2855
32.8%
2024-03-05T11:10:03.167945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 13489
 
13.0%
- 9357
 
9.0%
s 7747
 
7.5%
l 7487
 
7.2%
e 7484
 
7.2%
g 5211
 
5.0%
y 4730
 
4.6%
x 4605
 
4.5%
t 4441
 
4.3%
o 3978
 
3.8%
Other values (26) 34866
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 87342
84.5%
Dash Punctuation 9357
 
9.0%
Decimal Number 6091
 
5.9%
Other Punctuation 516
 
0.5%
Space Separator 89
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 13489
15.4%
s 7747
 
8.9%
l 7487
 
8.6%
e 7484
 
8.6%
g 5211
 
6.0%
y 4730
 
5.4%
x 4605
 
5.3%
t 4441
 
5.1%
o 3978
 
4.6%
r 3938
 
4.5%
Other values (15) 24232
27.7%
Decimal Number
ValueCountFrequency (%)
2 1806
29.7%
1 1353
22.2%
4 1118
18.4%
3 1068
17.5%
7 311
 
5.1%
0 257
 
4.2%
5 175
 
2.9%
8 3
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 9357
100.0%
Other Punctuation
ValueCountFrequency (%)
: 516
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 87342
84.5%
Common 16053
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 13489
15.4%
s 7747
 
8.9%
l 7487
 
8.6%
e 7484
 
8.6%
g 5211
 
6.0%
y 4730
 
5.4%
x 4605
 
5.3%
t 4441
 
5.1%
o 3978
 
4.6%
r 3938
 
4.5%
Other values (15) 24232
27.7%
Common
ValueCountFrequency (%)
- 9357
58.3%
2 1806
 
11.3%
1 1353
 
8.4%
4 1118
 
7.0%
3 1068
 
6.7%
: 516
 
3.2%
7 311
 
1.9%
0 257
 
1.6%
5 175
 
1.1%
89
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 13489
 
13.0%
- 9357
 
9.0%
s 7747
 
7.5%
l 7487
 
7.2%
e 7484
 
7.2%
g 5211
 
5.0%
y 4730
 
4.6%
x 4605
 
4.5%
t 4441
 
4.3%
o 3978
 
3.8%
Other values (26) 34866
33.7%

new_visit_flag
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
0
9435 
1
 
565

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9435
94.3%
1 565
 
5.7%

Length

2024-03-05T11:10:03.399308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:03.554077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9435
94.3%
1 565
 
5.7%

Most occurring characters

ValueCountFrequency (%)
0 9435
94.3%
1 565
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9435
94.3%
1 565
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9435
94.3%
1 565
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9435
94.3%
1 565
 
5.7%

raw_page_state
Text

MISSING 

Distinct95
Distinct (%)1.4%
Missing3435
Missing (%)34.4%
Memory size78.3 KiB
2024-03-05T11:10:03.736930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length4
Mean length11.542727
Min length3

Characters and Unicode

Total characters75778
Distinct characters63
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)0.5%

Sample

1st rowaddons
2nd rowhome
3rd rowCart - Mixed Product - EIP
4th rowCart - Mixed Product - EIP
5th rowNoFinance
ValueCountFrequency (%)
3403
22.5%
home 3346
22.1%
eip 1454
9.6%
cart 1175
 
7.8%
mixed 1175
 
7.8%
product 1173
 
7.8%
nofinance 494
 
3.3%
deferred 388
 
2.6%
studio 371
 
2.5%
addons 266
 
1.8%
Other values (68) 1883
12.4%
2024-03-05T11:10:04.219695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8569
 
11.3%
e 7616
 
10.1%
o 6215
 
8.2%
d 4080
 
5.4%
r 3790
 
5.0%
t 3762
 
5.0%
m 3685
 
4.9%
h 3456
 
4.6%
- 3352
 
4.4%
P 2868
 
3.8%
Other values (53) 28385
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 47870
63.2%
Uppercase Letter 13879
 
18.3%
Space Separator 8569
 
11.3%
Dash Punctuation 3352
 
4.4%
Connector Punctuation 948
 
1.3%
Decimal Number 638
 
0.8%
Math Symbol 328
 
0.4%
Other Punctuation 194
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7616
15.9%
o 6215
13.0%
d 4080
8.5%
r 3790
7.9%
t 3762
7.9%
m 3685
7.7%
h 3456
7.2%
i 2823
 
5.9%
a 2589
 
5.4%
n 2091
 
4.4%
Other values (15) 7763
16.2%
Uppercase Letter
ValueCountFrequency (%)
P 2868
20.7%
I 1749
12.6%
M 1671
12.0%
E 1583
11.4%
C 1352
9.7%
A 879
 
6.3%
N 841
 
6.1%
H 673
 
4.8%
F 564
 
4.1%
D 477
 
3.4%
Other values (9) 1222
8.8%
Decimal Number
ValueCountFrequency (%)
4 212
33.2%
1 195
30.6%
0 72
 
11.3%
2 40
 
6.3%
8 32
 
5.0%
9 30
 
4.7%
3 25
 
3.9%
6 25
 
3.9%
5 5
 
0.8%
7 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 164
84.5%
/ 12
 
6.2%
: 12
 
6.2%
& 6
 
3.1%
Math Symbol
ValueCountFrequency (%)
| 179
54.6%
> 149
45.4%
Space Separator
ValueCountFrequency (%)
8569
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3352
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 948
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 61749
81.5%
Common 14029
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7616
 
12.3%
o 6215
 
10.1%
d 4080
 
6.6%
r 3790
 
6.1%
t 3762
 
6.1%
m 3685
 
6.0%
h 3456
 
5.6%
P 2868
 
4.6%
i 2823
 
4.6%
a 2589
 
4.2%
Other values (34) 20865
33.8%
Common
ValueCountFrequency (%)
8569
61.1%
- 3352
 
23.9%
_ 948
 
6.8%
4 212
 
1.5%
1 195
 
1.4%
| 179
 
1.3%
. 164
 
1.2%
> 149
 
1.1%
0 72
 
0.5%
2 40
 
0.3%
Other values (9) 149
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8569
 
11.3%
e 7616
 
10.1%
o 6215
 
8.2%
d 4080
 
5.4%
r 3790
 
5.0%
t 3762
 
5.0%
m 3685
 
4.9%
h 3456
 
4.6%
- 3352
 
4.4%
P 2868
 
3.8%
Other values (53) 28385
37.5%

platform
Categorical

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)0.1%
Missing2273
Missing (%)22.7%
Memory size78.3 KiB
Android
2424 
Windows
1906 
web
1645 
mobileweb
1025 
iOS
360 
Other values (4)
367 

Length

Max length11
Median length7
Mean length6.202666
Min length3

Characters and Unicode

Total characters47928
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAndroid
2nd rowWindows
3rd rowAndroid
4th rowmobileweb
5th rowweb

Common Values

ValueCountFrequency (%)
Android 2424
24.2%
Windows 1906
19.1%
web 1645
16.4%
mobileweb 1025
10.2%
iOS 360
 
3.6%
Mac OS 246
 
2.5%
Linux 69
 
0.7%
Chromium OS 49
 
0.5%
Ubuntu 3
 
< 0.1%
(Missing) 2273
22.7%

Length

2024-03-05T11:10:04.444837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:04.658049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
android 2424
30.2%
windows 1906
23.8%
web 1645
20.5%
mobileweb 1025
12.8%
ios 360
 
4.5%
os 295
 
3.7%
mac 246
 
3.1%
linux 69
 
0.9%
chromium 49
 
0.6%
ubuntu 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
d 6754
14.1%
i 5833
12.2%
o 5404
11.3%
w 4576
9.5%
n 4402
9.2%
b 3698
7.7%
e 3695
7.7%
r 2473
 
5.2%
A 2424
 
5.1%
W 1906
 
4.0%
Other values (16) 6763
14.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41626
86.9%
Uppercase Letter 6007
 
12.5%
Space Separator 295
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 6754
16.2%
i 5833
14.0%
o 5404
13.0%
w 4576
11.0%
n 4402
10.6%
b 3698
8.9%
e 3695
8.9%
r 2473
 
5.9%
s 1906
 
4.6%
m 1123
 
2.7%
Other values (7) 1762
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 2424
40.4%
W 1906
31.7%
S 655
 
10.9%
O 655
 
10.9%
M 246
 
4.1%
L 69
 
1.1%
C 49
 
0.8%
U 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
295
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47633
99.4%
Common 295
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 6754
14.2%
i 5833
12.2%
o 5404
11.3%
w 4576
9.6%
n 4402
9.2%
b 3698
7.8%
e 3695
7.8%
r 2473
 
5.2%
A 2424
 
5.1%
W 1906
 
4.0%
Other values (15) 6468
13.6%
Common
ValueCountFrequency (%)
295
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47928
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 6754
14.1%
i 5833
12.2%
o 5404
11.3%
w 4576
9.5%
n 4402
9.2%
b 3698
7.7%
e 3695
7.7%
r 2473
 
5.2%
A 2424
 
5.1%
W 1906
 
4.0%
Other values (16) 6763
14.1%

test_Type
Categorical

HIGH CORRELATION  IMBALANCE  MISSING 

Distinct6
Distinct (%)2.0%
Missing9695
Missing (%)97.0%
Memory size78.3 KiB
gnb_exp_v2
262 
experiment
28 
normal
 
5
motopay
 
5
byod
 
4

Length

Max length15
Median length10
Mean length9.8229508
Min length4

Characters and Unicode

Total characters2996
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowgnb_exp_v2
2nd rowgnb_exp_v2
3rd rowgnb_exp_v2
4th rowgnb_exp_v2
5th rowgnb_exp_v2

Common Values

ValueCountFrequency (%)
gnb_exp_v2 262
 
2.6%
experiment 28
 
0.3%
normal 5
 
0.1%
motopay 5
 
0.1%
byod 4
 
< 0.1%
motopay_by_link 1
 
< 0.1%
(Missing) 9695
97.0%

Length

2024-03-05T11:10:04.888216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:05.063716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gnb_exp_v2 262
85.9%
experiment 28
 
9.2%
normal 5
 
1.6%
motopay 5
 
1.6%
byod 4
 
1.3%
motopay_by_link 1
 
0.3%

Most occurring characters

ValueCountFrequency (%)
_ 526
17.6%
e 346
11.5%
p 296
9.9%
n 296
9.9%
x 290
9.7%
b 267
8.9%
g 262
8.7%
v 262
8.7%
2 262
8.7%
m 39
 
1.3%
Other values (9) 150
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2208
73.7%
Connector Punctuation 526
 
17.6%
Decimal Number 262
 
8.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 346
15.7%
p 296
13.4%
n 296
13.4%
x 290
13.1%
b 267
12.1%
g 262
11.9%
v 262
11.9%
m 39
 
1.8%
t 34
 
1.5%
r 33
 
1.5%
Other values (7) 83
 
3.8%
Connector Punctuation
ValueCountFrequency (%)
_ 526
100.0%
Decimal Number
ValueCountFrequency (%)
2 262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2208
73.7%
Common 788
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 346
15.7%
p 296
13.4%
n 296
13.4%
x 290
13.1%
b 267
12.1%
g 262
11.9%
v 262
11.9%
m 39
 
1.8%
t 34
 
1.5%
r 33
 
1.5%
Other values (7) 83
 
3.8%
Common
ValueCountFrequency (%)
_ 526
66.8%
2 262
33.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 526
17.6%
e 346
11.5%
p 296
9.9%
n 296
9.9%
x 290
9.7%
b 267
8.9%
g 262
8.7%
v 262
8.7%
2 262
8.7%
m 39
 
1.3%
Other values (9) 150
 
5.0%

product_modelcode
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size78.3 KiB

event_time
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size78.3 KiB

b2b_flag
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
0
9888 
1
 
112

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters10000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9888
98.9%
1 112
 
1.1%

Length

2024-03-05T11:10:05.252989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:05.399883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9888
98.9%
1 112
 
1.1%

Most occurring characters

ValueCountFrequency (%)
0 9888
98.9%
1 112
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9888
98.9%
1 112
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 10000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9888
98.9%
1 112
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9888
98.9%
1 112
 
1.1%

paymentmethod
Categorical

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)9.2%
Missing9902
Missing (%)99.0%
Memory size78.3 KiB
motopay by link
32 
UofL financing
28 
CreditCard
15 
PayPal
10 
Affirm split4
Other values (4)

Length

Max length15
Median length14
Mean length12.530612
Min length4

Characters and Unicode

Total characters1228
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)3.1%

Sample

1st rowmotopay by link
2nd rowUofL financing
3rd rowAffirm split4
4th rowCreditCard
5th rowmotopay by link

Common Values

ValueCountFrequency (%)
motopay by link 32
 
0.3%
UofL financing 28
 
0.3%
CreditCard 15
 
0.1%
PayPal 10
 
0.1%
Affirm split4 8
 
0.1%
amazonpay 2
 
< 0.1%
spay 1
 
< 0.1%
Venmo 1
 
< 0.1%
AffirmFinancing 1
 
< 0.1%
(Missing) 9902
99.0%

Length

2024-03-05T11:10:05.562995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-05T11:10:05.753081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
motopay 32
16.2%
by 32
16.2%
link 32
16.2%
uofl 28
14.1%
financing 28
14.1%
creditcard 15
7.6%
paypal 10
 
5.1%
affirm 8
 
4.0%
split4 8
 
4.0%
amazonpay 2
 
1.0%
Other values (3) 3
 
1.5%

Most occurring characters

ValueCountFrequency (%)
i 122
 
9.9%
n 122
 
9.9%
a 103
 
8.4%
100
 
8.1%
o 95
 
7.7%
y 77
 
6.3%
f 74
 
6.0%
t 55
 
4.5%
l 50
 
4.1%
m 44
 
3.6%
Other values (18) 386
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1003
81.7%
Uppercase Letter 117
 
9.5%
Space Separator 100
 
8.1%
Decimal Number 8
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 122
12.2%
n 122
12.2%
a 103
10.3%
o 95
9.5%
y 77
 
7.7%
f 74
 
7.4%
t 55
 
5.5%
l 50
 
5.0%
m 44
 
4.4%
p 43
 
4.3%
Other values (9) 218
21.7%
Uppercase Letter
ValueCountFrequency (%)
C 30
25.6%
L 28
23.9%
U 28
23.9%
P 20
17.1%
A 9
 
7.7%
V 1
 
0.9%
F 1
 
0.9%
Space Separator
ValueCountFrequency (%)
100
100.0%
Decimal Number
ValueCountFrequency (%)
4 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1120
91.2%
Common 108
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 122
 
10.9%
n 122
 
10.9%
a 103
 
9.2%
o 95
 
8.5%
y 77
 
6.9%
f 74
 
6.6%
t 55
 
4.9%
l 50
 
4.5%
m 44
 
3.9%
p 43
 
3.8%
Other values (16) 335
29.9%
Common
ValueCountFrequency (%)
100
92.6%
4 8
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 122
 
9.9%
n 122
 
9.9%
a 103
 
8.4%
100
 
8.1%
o 95
 
7.7%
y 77
 
6.3%
f 74
 
6.0%
t 55
 
4.5%
l 50
 
4.1%
m 44
 
3.6%
Other values (18) 386
31.4%

finalpayment
Categorical

HIGH CORRELATION  MISSING 

Distinct22
Distinct (%)0.9%
Missing7499
Missing (%)75.0%
Memory size78.3 KiB
UofL financing
805 
motopay by link
774 
CreditCard
302 
PayPal
214 
Affirm split4
190 
Other values (17)
216 

Length

Max length33
Median length24
Mean length12.846062
Min length4

Characters and Unicode

Total characters32128
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.2%

Sample

1st rowmotopay by link
2nd rowUofL financing
3rd rowUofL financing
4th rowPayPal
5th rowUofL financing

Common Values

ValueCountFrequency (%)
UofL financing 805
 
8.1%
motopay by link 774
 
7.7%
CreditCard 302
 
3.0%
PayPal 214
 
2.1%
Affirm split4 190
 
1.9%
AffirmFinancing 90
 
0.9%
amazonpay 47
 
0.5%
spay 31
 
0.3%
Applepay 9
 
0.1%
Googlepay 7
 
0.1%
Other values (12) 32
 
0.3%
(Missing) 7499
75.0%

Length

2024-03-05T11:10:05.979233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
uofl 805
15.9%
financing 805
15.9%
motopay 775
15.3%
by 775
15.3%
link 774
15.3%
creditcard 302
 
6.0%
paypal 217
 
4.3%
affirm 190
 
3.8%
split4 190
 
3.8%
affirmfinancing 90
 
1.8%
Other values (16) 136
 
2.7%

Most occurring characters

ValueCountFrequency (%)
n 3555
 
11.1%
i 3376
 
10.5%
a 2620
 
8.2%
2558
 
8.0%
o 2434
 
7.6%
f 2170
 
6.8%
y 1866
 
5.8%
t 1272
 
4.0%
l 1199
 
3.7%
m 1105
 
3.4%
Other values (36) 9973
31.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26237
81.7%
Uppercase Letter 3130
 
9.7%
Space Separator 2558
 
8.0%
Decimal Number 193
 
0.6%
Connector Punctuation 5
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 3555
13.5%
i 3376
12.9%
a 2620
10.0%
o 2434
9.3%
f 2170
 
8.3%
y 1866
 
7.1%
t 1272
 
4.8%
l 1199
 
4.6%
m 1105
 
4.2%
p 1083
 
4.1%
Other values (12) 5557
21.2%
Uppercase Letter
ValueCountFrequency (%)
U 807
25.8%
L 805
25.7%
C 623
19.9%
P 439
14.0%
A 297
 
9.5%
F 101
 
3.2%
S 14
 
0.4%
T 13
 
0.4%
V 10
 
0.3%
M 8
 
0.3%
Other values (6) 13
 
0.4%
Decimal Number
ValueCountFrequency (%)
4 190
98.4%
6 1
 
0.5%
0 1
 
0.5%
3 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2558
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Math Symbol
ValueCountFrequency (%)
| 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29367
91.4%
Common 2761
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 3555
12.1%
i 3376
 
11.5%
a 2620
 
8.9%
o 2434
 
8.3%
f 2170
 
7.4%
y 1866
 
6.4%
t 1272
 
4.3%
l 1199
 
4.1%
m 1105
 
3.8%
p 1083
 
3.7%
Other values (28) 8687
29.6%
Common
ValueCountFrequency (%)
2558
92.6%
4 190
 
6.9%
_ 5
 
0.2%
& 3
 
0.1%
| 2
 
0.1%
6 1
 
< 0.1%
0 1
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 3555
 
11.1%
i 3376
 
10.5%
a 2620
 
8.2%
2558
 
8.0%
o 2434
 
7.6%
f 2170
 
6.8%
y 1866
 
5.8%
t 1272
 
4.0%
l 1199
 
3.7%
m 1105
 
3.4%
Other values (36) 9973
31.0%

page_type
Categorical

HIGH CORRELATION  MISSING 

Distinct44
Distinct (%)2.8%
Missing8453
Missing (%)84.5%
Memory size78.3 KiB
configurator>home
289 
checkout
232 
home
198 
pdp
162 
product finder
107 
Other values (39)
559 

Length

Max length34
Median length23
Mean length12.503555
Min length3

Characters and Unicode

Total characters19343
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st rowconfigurator>addons
2nd rowhome
3rd rowmy orders|order tracking
4th rowproduct explore
5th rowb2c|search results|results clicked

Common Values

ValueCountFrequency (%)
configurator>home 289
 
2.9%
checkout 232
 
2.3%
home 198
 
2.0%
pdp 162
 
1.6%
product finder 107
 
1.1%
product explore 106
 
1.1%
b2c|search results 55
 
0.5%
consumer 42
 
0.4%
configurator>addons 41
 
0.4%
my orders|my orders 39
 
0.4%
Other values (34) 276
 
2.8%
(Missing) 8453
84.5%

Length

2024-03-05T11:10:06.202894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
configurator>home 289
13.1%
product 233
 
10.6%
checkout 232
 
10.5%
home 198
 
9.0%
pdp 162
 
7.4%
explore 126
 
5.7%
my 109
 
5.0%
finder 107
 
4.9%
b2c|search 86
 
3.9%
results 55
 
2.5%
Other values (48) 605
27.5%

Most occurring characters

ValueCountFrequency (%)
o 2221
 
11.5%
r 2075
 
10.7%
e 1785
 
9.2%
c 1466
 
7.6%
t 1126
 
5.8%
u 1076
 
5.6%
d 929
 
4.8%
h 809
 
4.2%
p 755
 
3.9%
n 748
 
3.9%
Other values (20) 6353
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17912
92.6%
Space Separator 655
 
3.4%
Math Symbol 643
 
3.3%
Decimal Number 126
 
0.7%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2221
12.4%
r 2075
11.6%
e 1785
 
10.0%
c 1466
 
8.2%
t 1126
 
6.3%
u 1076
 
6.0%
d 929
 
5.2%
h 809
 
4.5%
p 755
 
4.2%
n 748
 
4.2%
Other values (13) 4922
27.5%
Decimal Number
ValueCountFrequency (%)
2 120
95.2%
4 4
 
3.2%
0 2
 
1.6%
Math Symbol
ValueCountFrequency (%)
> 382
59.4%
| 261
40.6%
Space Separator
ValueCountFrequency (%)
655
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17912
92.6%
Common 1431
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2221
12.4%
r 2075
11.6%
e 1785
 
10.0%
c 1466
 
8.2%
t 1126
 
6.3%
u 1076
 
6.0%
d 929
 
5.2%
h 809
 
4.5%
p 755
 
4.2%
n 748
 
4.2%
Other values (13) 4922
27.5%
Common
ValueCountFrequency (%)
655
45.8%
> 382
26.7%
| 261
 
18.2%
2 120
 
8.4%
- 7
 
0.5%
4 4
 
0.3%
0 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2221
 
11.5%
r 2075
 
10.7%
e 1785
 
9.2%
c 1466
 
7.6%
t 1126
 
5.8%
u 1076
 
5.6%
d 929
 
4.8%
h 809
 
4.2%
p 755
 
3.9%
n 748
 
3.9%
Other values (20) 6353
32.8%

Interactions

2024-03-05T11:09:38.397555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:35.642436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:36.272978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:36.885268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:38.556704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:35.799312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:36.421043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:37.039382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:38.710972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:35.952327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:36.570786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:37.210450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:38.875604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:36.115611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:36.734090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-05T11:09:38.220892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-05T11:10:06.390851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
b2b_flagb2c_flagbouncecalendar_month_numbercalendar_quarter_numbercalendar_year_numberchannelcheckout_flagdevice_typeentry_pageentry_page_seqexit_pagefinalpaymentis_logged_in_flaglast_touch_channelnew_visit_flagpage_eventpage_typepaymentmethodplatformreferraltest_Typeva_closer_idvisit_entry_channelvisit_entry_channel_c360visit_page_seqweek_of_year_number
b2b_flag1.0000.4440.0000.0000.0000.0000.0530.0060.0000.000-0.0120.0000.1380.0470.0590.0230.0000.7231.0000.0000.0000.127-0.0070.0530.0410.002-0.011
b2c_flag0.4441.0000.0180.0070.0070.0070.0870.0540.0000.0250.0660.0490.0730.0450.0970.0230.0470.8751.0000.0840.2310.0000.0580.0870.0770.086-0.001
bounce0.0000.0181.0000.0000.0000.0000.0580.0000.0190.292-0.0470.2970.0000.0230.0650.0400.0950.1390.0000.0490.3030.0000.0080.0580.061-0.0980.007
calendar_month_number0.0000.0070.0001.0001.0001.0000.0780.0260.0000.0000.0200.0000.1190.0000.0810.0740.0000.0740.1990.0870.0000.0970.0180.0780.125-0.0250.744
calendar_quarter_number0.0000.0070.0001.0001.0001.0000.0780.0260.0000.0000.0200.0000.1190.0000.0810.0740.0000.0740.1990.0870.0000.0970.0180.0780.125-0.0250.744
calendar_year_number0.0000.0070.0001.0001.0001.0000.0780.0260.0000.000-0.0200.0000.1190.0000.0810.0740.0000.0740.1990.0870.0000.097-0.0180.0780.1250.025-0.744
channel0.0530.0870.0580.0780.0780.0781.0000.0000.2810.0420.0710.0390.1160.1790.8990.0660.0330.1080.2180.1400.5260.196-0.2551.0000.733-0.0280.007
checkout_flag0.0060.0540.0000.0260.0260.0260.0001.0000.0400.0160.0640.0140.0560.1390.0410.0160.0000.6290.5330.0550.4420.4530.0180.0000.0000.129-0.010
device_type0.0000.0000.0190.0000.0000.0000.2810.0401.0000.012-0.0870.0070.5180.1710.2940.0000.0000.0730.5300.9690.4890.000-0.0020.2810.276-0.103-0.009
entry_page0.0000.0250.2920.0000.0000.0000.0420.0160.0121.000-0.0510.0700.0150.0780.0570.1450.2760.5090.0000.1120.0000.0910.0080.0420.021-0.284-0.006
entry_page_seq-0.0120.066-0.0470.0200.020-0.0200.0710.064-0.087-0.0511.0000.0320.0000.1200.0000.0000.0000.1480.0000.0270.0000.0000.0330.0150.0000.3890.017
exit_page0.0000.0490.2970.0000.0000.0000.0390.0140.0070.0700.0321.0000.0000.0390.0460.0190.0420.1120.0000.0270.1450.0870.0160.0390.039-0.113-0.008
finalpayment0.1380.0730.0000.1190.1190.1190.1160.0560.5180.0150.0000.0001.0000.1680.1280.1110.0000.0291.0000.1940.4580.164-0.1070.1160.1130.0400.052
is_logged_in_flag0.0470.0450.0230.0000.0000.0000.1790.1390.1710.0780.1200.0390.1681.0000.2030.0100.0400.4220.4860.2010.3070.1600.0800.1790.2170.2740.010
last_touch_channel0.0590.0970.0650.0810.0810.0810.8990.0410.2940.0570.0000.0460.1280.2031.0000.0670.0380.1160.2200.1430.5980.013-0.3340.8990.669-0.0190.011
new_visit_flag0.0230.0230.0400.0740.0740.0740.0660.0160.0000.1450.0000.0190.1110.0100.0671.0000.5020.1700.3380.0880.2500.000-0.0110.0660.111-0.062-0.055
page_event0.0000.0470.0950.0000.0000.0000.0330.0000.0000.2760.0000.0420.0000.0400.0380.5021.0000.9520.9630.2000.0001.000-0.0040.0330.043-0.144-0.007
page_type0.7230.8750.1390.0740.0740.0740.1080.6290.0730.5090.1480.1120.0290.4220.1160.1700.9521.0000.9520.2500.1210.6470.0500.1080.088-0.1470.016
paymentmethod1.0001.0000.0000.1990.1990.1990.2180.5330.5300.0000.0000.0001.0000.4860.2200.3380.9630.9521.0000.292NaNNaN-0.1990.2180.0000.0130.168
platform0.0000.0840.0490.0870.0870.0870.1400.0550.9690.1120.0270.0270.1940.2010.1430.0880.2000.2500.2921.0000.0160.224-0.0510.1400.130-0.060-0.037
referral0.0000.2310.3030.0000.0000.0000.5260.4420.4890.0000.0000.1450.4580.3070.5980.2500.0000.121NaN0.0161.0000.6360.1130.5260.5210.075-0.035
test_Type0.1270.0000.0000.0970.0970.0970.1960.4530.0000.0910.0000.0870.1640.1600.0130.0001.0000.647NaN0.2240.6361.0000.0480.1960.200-0.1540.015
va_closer_id-0.0070.0580.0080.0180.018-0.018-0.2550.018-0.0020.0080.0330.016-0.1070.080-0.334-0.011-0.0040.050-0.199-0.0510.1130.0481.0000.8370.619-0.0120.038
visit_entry_channel0.0530.0870.0580.0780.0780.0781.0000.0000.2810.0420.0150.0390.1160.1790.8990.0660.0330.1080.2180.1400.5260.1960.8371.0000.733-0.0280.007
visit_entry_channel_c3600.0410.0770.0610.1250.1250.1250.7330.0000.2760.0210.0000.0390.1130.2170.6690.1110.0430.0880.0000.1300.5210.2000.6190.7331.000-0.0610.041
visit_page_seq0.0020.086-0.098-0.025-0.0250.025-0.0280.129-0.103-0.2840.389-0.1130.0400.274-0.019-0.062-0.144-0.1470.013-0.0600.075-0.154-0.012-0.028-0.0611.0000.003
week_of_year_number-0.011-0.0010.0070.7440.744-0.7440.007-0.010-0.009-0.0060.017-0.0080.0520.0100.011-0.055-0.0070.0160.168-0.037-0.0350.0150.0380.0070.0410.0031.000

Missing values

2024-03-05T11:09:39.243054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-05T11:09:39.789094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-05T11:09:40.681096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

visit_idvisitor_idevent_datedevice_typevisit_page_seqpage_eventpage_urlpage_namepage_name_v2link_track_txmy3product_idorder_idcart_session_idcidis_logged_in_flagevent_time_estreferrerdtbounceentry_pageexit_pageva_closer_idprogramreferralchannellast_touch_channelentry_page_seqvisit_entry_channelvisit_entry_channel_c360b2c_flagcheckout_flaglink_catlink_idevent_nameweekending_satdateweek_of_year_numbermonth_end_datecalendar_month_numberquarter_end_datecalendar_quarter_numberyear_end_datecalendar_year_numberbrowser_namesite_txmy2new_visit_flagraw_page_stateplatformtest_Typeproduct_modelcodeevent_timeb2b_flagpaymentmethodfinalpaymentpage_type
028340693976439741262572614675076773654-22.83406939764397E+03700:00.0Mobile web13pageviewhttps://www.uofl2022.org/us/smartphones/galaxy-s21-fe-5g/buy/galaxy-s21-fe-5g-128gb-unlocked-sm-g990uzadxaa/??cid=sem-mktg-pfs-mob-us-google-na-01192022-141513-&ds_e=google-cr:0-pl:324320424-&ds_c=ff~device+-+brand+variations_cn~palette_ph~laun_mk~usnat_bs~im_pr~smart_sb~s21fe_pk~roas_fs~lo_ca~kew_ks~ba_mt~phrase-&ds_ag=ag~s21+fe+galaxy+s21+fe_mk~usnat_at~ta_md~h_pk~roah_pb~google_ai~no_tg~na_sa~mass-&ds_k=galaxy+s21+fe&gclid=cjwkcaialrspbhbaeiwaulsduczdrvezh5xxif4i2msbl9jexeherioxda5xanq_dlfgxbc7jdprixoc7i0qavd_bwe&gclsrc=aw.dshttps://www.uofl2022.org/us/smartphones/galaxy-s21-fe-5g/buy/galaxy-s21-fe-5g-128gb-unlocked-sm-g990uzadxaaconfigurator>galaxy-s21-fe>addonsNaNNaNNaNNaNNaN023:59.0https://www.google.com/00:00.00005NaNgoogle.comdirectdirect13directnatural search10NaNNaNNaN00:00.0500:00.0100:00.0100:00.02022Chrome Mobile 97.0galaxy-s21-fe0addonsAndroidNaNNaNNaN0NaNNaNconfigurator>addons
152722545145412238723668561230942702169-615.27225451454122E+03700:00.0Desktop7clickhttps://www.uofl2022.org/us/smartphones/galaxy-z-flip3-5g/buy/galaxy-z-flip3-5g-128gb-unlocked-sm-f711uzgbxaa/?modelcode=sm-f926uzkexaahttps://www.uofl2022.org/us/monitors/NaNhttps://www.uofl2022.org/us/smartphones/galaxy-z-flip3-5g/buy/galaxy-z-flip3-5g-128gb-unlocked-sm-f711uzgbxaa/>configurator>galaxy-z-flip3>capacity>128gbNaNNaN1f30315a-5de2-460d-9719-ac37e13c0a20NaN003:40.0NaN00:00.00005NaNNaNdirectdirect1directdirect10configurator>capacity128gbselect_capacity_128gb00:00.04900:00.01200:00.0400:00.02021Google Chrome 96.0galaxy-z-flip30homeWindowsNaNNaNNaN0NaNmotopay by linkNaN
247410224237958823080562373434066826782-14.74102242379588E+03700:00.0Mobile web275clickhttps://www.uofl2022.org/us/shop/all-deals/https://www.uofl2022.org/us/shop/all-dealsNaNhttps://www.uofl2022.org/us/shop/all-deals>wunderkindcampaign>1349503>wunderkind:modalloadNaNNaN65b47068-2425-46a4-9298-6a5db200544consite-abdn-exit-im106:09.0NaN00:00.00002eppNaNnatural searchnatural search218natural searchexternal campaign10wunderkindwunderkind:modalloadwunderkind_modal_load00:00.05100:00.01200:00.0400:00.02021Chrome Mobile 96.0all-deals0Cart - Mixed Product - EIPAndroidNaNNaNNaN0NaNNaNNaN
333829991137605609102794939609770508412-83.38299911376056E+03700:00.0Mobile web246clickhttps://www.uofl2022.org/us/web/express/cart/new ecom step1|view cartNaNhttps://www.uofl2022.org/us/web/express/cart/>iadvize_events>chat displayedNaNNaN187972cf-8e03-4951-9b33-e220d248fc3cpnf-mb-smp-cha-20220112-660600157:35.0NaN00:00.000019NaNNaNpush notificationpush notification160push notificationpush notification10iadvize_chat_eventschat displayediadvize_chat_displayed00:00.0300:00.0100:00.0100:00.02022Samsung Browser 16.0galaxy-watch40Cart - Mixed Product - EIPmobilewebNaNNaNNaN0NaNUofL financingNaN
449035996068347060992115545765358520912-14.9035996068347E+03700:00.0Desktop5clickhttps://www.uofl2022.org/us/mobile/tablets/all-tablets/https://www.uofl2022.org/us/mobile/tablets/all-tabletsNaNhttps://www.uofl2022.org/us/mobile/tablets/all-tablets>SM-T733NLIFXAR>pf>buy nowNaNNaNNaNNaN040:58.0NaN00:00.00006NaNNaNdirectdirect1directdirect10pf>buy nowpf>category_filter_SM-T733NLIFXAR_buy_nowNaN00:00.05000:00.01200:00.0400:00.02021Google Chrome 96.0tablets0NaNNaNNaNNaNNaN0NaNNaNNaN
543738166031870108821903027319378236521-914.37381660318701E+03700:00.0Mobile web6clickhttps://www.uofl2022.org/us/web/express/checkouthttps://www.uofl2022.org/us/televisions-home-theater/tvs/crystal-uhd-tvs/86-class-tu9010f-crystal-uhd-4k-smart-tv-2021-un86tu9010fxzaNaNhttps://www.uofl2022.org/us/web/express/checkout>Samsung Checkout>It's your lucky day. A discount was applied to one or more of your items in cart.> alert_msgNaNNaNcd5855cd-ad09-4cd8-8097-bf3d44da5718eml-abdn-prod-televisions+and+home+theater-t2012:27.0https://www.uofl2022.org/us/televisions-home-theater/tvs/crystal-uhd-tvs/86-class-tu9010f-crystal-uhd-4k-smart-tv-2021-un86tu9010fxza/?utm_campaign=email_sessionrecap_2_of_3&ibx_source=c7od0uginqokofsmrp20&cid=eml-abdn-prod-televisions+and+home+00:00.000025NaNNaNemail - upsellitemail - upsellit1email - upsellitemail - upsellit11alert_msgalert_msgalert_msg00:00.0500:00.0100:00.0100:00.02022Chrome Mobile 97.0tvs0NaNNaNNaNNaNNaN0NaNNaNNaN
629993423174774202760286637119396039481-332.99934231747742E+03700:00.0Desktop76clickhttps://www.uofl2022.org/us/refrigerators/bespoke/design-studio/?model=quadr&view=color&tr=ra-f18duu35/aa&tl=ra-f18duu35/aa&bl=ra-f18dbb35/aa&br=ra-f18dbb35/aahttps://www.uofl2022.org/us/refrigerators/bespoke/design-studioNaNhttps://www.uofl2022.org/us/refrigerators/bespoke/design-studio>bespoke > nvaigation > next> nextNaNNaNcc137c49-5962-4d1a-9bf2-58cfab252813afl-ecomm-cjn-cha-092118-53000136:01.0NaN00:00.000016NaNNaNdirectaffiliate1directpla10nextbespoke nextNaN00:00.0400:00.0100:00.0100:00.02022Google Chrome 97.0refrigerators0NoFinancewebNaNNaNNaN0NaNNaNNaN
731675316955188971851532937462198176212-63.16753169551889E+03700:00.0Mobile web41pageviewhttps://www.uofl2022.org/us/mobile/phones/all-phones/?cid=us_ow_app_galaxyshop_none_none_weblinkapp_bookmark_202008_nonehttps://www.uofl2022.org/us/mobile/phones/all-phonesNaNNaNNaNNaN13d21e14-9f6f-4a07-a690-8d6674e41ed5us_ow_app_galaxyshop_none_none_weblinkapp_bookmark_202008_none000:45.0NaN00:00.001013NaNNaNexternal campaignexternal campaign41external campaignexternal campaign10NaNNaNNaN00:00.0200:00.0100:00.0100:00.02022Samsung Browser 16.0chromebook20NaNAndroidgnb_exp_v2NaNNaN0NaNUofL financingNaN
857386276787759518402409763408153196352-185.73862767877595E+03700:00.0Mobile web41clickhttps://www.uofl2022.org/us/watches/galaxy-watch4/buy/?&cid=pla-ecomm-pfs-weacc-us-google-na-11012021-170104-&ds_e=google-cr:0-pl:284449330-&ds_c=ff~wearables+ssc_cn~wearables+ssc_id~b0000nhc_ph~on_mk~us_bs~multi_pr~wearoth_sb~immulti_fs~hqloe_ca~smp_ks~nag_mt~na-&ds_ag=ag~wearables+ssc_id~e000191z_mk~us_at~sa_md~h_pk~roah_pb~google_ai~n_ae~oth1_tg~3mr_sa~res-&ds_k=product_group&gclid=cj0kcqiai9mpbhcjarisahchl1xr6gi_rjbwi54lhgjh8d41zijzw9_exnftvp8ru4y5tdrghga7rukaam-zealw_wcb&gclsrc=aw.dshttps://www.uofl2022.org/us/watches/galaxy-watch4/buyNaNhttps://www.uofl2022.org/us/watches/galaxy-watch4/buy>configurator>galaxy-watch4>strap>color_blackNaNNaNNaNpla-ecomm-pfs-weacc-us-google-na-11012021-170104-046:17.0NaN00:00.000021NaNNaNplapla14plapla10configurator>strapcolor_blackselect_strap_color_black00:00.0600:00.0100:00.0100:00.02022Samsung Browser 16.0galaxy-watch40homeAndroidNaNNaNNaN0NaNNaNNaN
958668658946039392421022596190874197268-45.86686589460393E+03700:00.0Desktop285clickhttps://www.uofl2022.org/us/watches/galaxy-watch4/buy/?modelcode=sm-r880nzkdxaahttps://www.uofl2022.org/us/watches/galaxy-watch4/buyNaNhttps://www.uofl2022.org/us/watches/galaxy-watch4/buy>configurator>galaxy-watch4>band>continue (1)NaNNaNfb5d7b1c-09c7-4dbb-8240-366ebaff0ddeafl-ecomm-cjn-cha-092118-53002004:32.0NaN00:00.000016NaNNaNaffiliateaffiliate226affiliateaffiliate10configurator>bandcontinue (1)select_band_continue (1)00:00.0500:00.0100:00.0100:00.02022Google Chrome 97.0galaxy-watch40bandWindowsNaNNaNNaN0NaNPayPalNaN
visit_idvisitor_idevent_datedevice_typevisit_page_seqpage_eventpage_urlpage_namepage_name_v2link_track_txmy3product_idorder_idcart_session_idcidis_logged_in_flagevent_time_estreferrerdtbounceentry_pageexit_pageva_closer_idprogramreferralchannellast_touch_channelentry_page_seqvisit_entry_channelvisit_entry_channel_c360b2c_flagcheckout_flaglink_catlink_idevent_nameweekending_satdateweek_of_year_numbermonth_end_datecalendar_month_numberquarter_end_datecalendar_quarter_numberyear_end_datecalendar_year_numberbrowser_namesite_txmy2new_visit_flagraw_page_stateplatformtest_Typeproduct_modelcodeevent_timeb2b_flagpaymentmethodfinalpaymentpage_type
999025512013474780831360918285070964938118-72.55120134747808E+03700:00.0Mobile web3clickhttps://www.uofl2022.org/us/support/answer/ans00062585/https://www.uofl2022.org/us/support/answer/ans00062585NaNNaNNaNNaN6a8f502b-d684-4672-a671-e226e977c9f6NaN037:40.0https://www.google.com/00:00.00012NaNgoogle.comnatural searchnatural search1natural searchnatural search00NaNNaNNaN00:00.05000:00.01200:00.0400:00.02021Chrome Mobile 96.0NaN0NaNNaNNaNNaNNaN0NaNNaNNaN
999178912823790835365780541215063114268973-177.89128237908353E+03700:00.0Mobile web6pageviewhttps://www.uofl2022.org/us/mobile/phones/all-phones/?cid=us_ow_app_galaxyshop_none_none_weblinkapp_bookmark_202008_nonehttps://www.uofl2022.org/us/mobile/phones/all-phonesNaNNaNNaNNaNNaNus_ow_app_galaxyshop_none_none_weblinkapp_bookmark_202008_none103:24.0https://account.uofl2022.org/accounts/v1/samsung_com_us/browserssocomplete?result=success&port=63109&code=cpqlr239nw00:00.000013NaNNaNexternal campaignexternal campaign1external campaignexternal campaign10NaNNaNNaN00:00.0500:00.0100:00.0100:00.02022Samsung Browser 16.0phones0NaNNaNgnb_exp_v2NaNNaN0NaNNaNNaN
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